{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:32:40Z","timestamp":1783729960073,"version":"3.55.0"},"reference-count":76,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004728","name":"VIT University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004728","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computational Biology and Chemistry"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.compbiolchem.2025.108546","type":"journal-article","created":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T19:31:08Z","timestamp":1749670268000},"page":"108546","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Transcriptomic profiling and biomarker discovery in pre-eclampsia: An integrated approach leveraging WGCNA and LASSO with ROC validation"],"prefix":"10.1016","volume":"119","author":[{"given":"Tamil Barathi","family":"Palanisamy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1647-3182","authenticated-orcid":false,"given":"Mohanapriya","family":"Arumugam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.compbiolchem.2025.108546_bib1","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1007\/s10618-018-00607-x","article-title":"The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers","volume":"33","author":"Airola","year":"2019","journal-title":"Data Min. Knowl. Disc"},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib2","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1007\/s12016-016-8596-x","article-title":"Tumor necrosis factor-alpha and pregnancy: focus on biologics. An updated and comprehensive review","volume":"53","author":"Alijotas-Reig","year":"2017","journal-title":"Clin. Rev. Allergy Immunol."},{"issue":"28","key":"10.1016\/j.compbiolchem.2025.108546_bib3","doi-asserted-by":"crossref","first-page":"11612","DOI":"10.1073\/pnas.0813177106","article-title":"Trim24 targets endogenous p53 for degradation","volume":"106","author":"Allton","year":"2009","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"6","key":"10.1016\/j.compbiolchem.2025.108546_bib4","doi-asserted-by":"crossref","first-page":"e237","DOI":"10.1097\/AOG.0000000000003891","article-title":"Gestational hypertension and preeclampsia: ACOG practice bulletin, number 222","volume":"135","author":"American College of Obstetricians and Gynecologists (ACOG)","year":"2020","journal-title":"Obstet. Gynecol."},{"issue":"5","key":"10.1016\/j.compbiolchem.2025.108546_bib5","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.3390\/ijms19051496","article-title":"Oxidative stress in preeclampsia and placental diseases","volume":"19","author":"Aouache","year":"2018","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib6","series-title":"StatPearls","article-title":"Carbonic anhydrase inhibitors","author":"Aslam","year":"2024"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib7","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2023.1291642","article-title":"A cross-sectional analysis of syncytiotrophoblast membrane extracellular vesicles-derived transcriptomic biomarkers in early-onset preeclampsia","volume":"10","author":"Awoyemi","year":"2023","journal-title":"Front. Cardiovasc. Med."},{"issue":"3","key":"10.1016\/j.compbiolchem.2025.108546_bib8","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1080\/10641963.2017.1368538","article-title":"Estradiol decreases blood pressure in association with redox regulation in preeclampsia","volume":"40","author":"Babic","year":"2018","journal-title":"Clin. Exp. Hypertens."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib9","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/1471-2105-4-2","article-title":"An automated method for finding molecular complexes in large protein interaction networks","volume":"4","author":"Bader","year":"2003","journal-title":"BMC Bioinformatics"},{"issue":"2","key":"10.1016\/j.compbiolchem.2025.108546_bib10","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1210\/er.2016-1065","article-title":"From pregnancy to preeclampsia: a key role for estrogens","volume":"38","author":"Berkane","year":"2017","journal-title":"Endocr. Rev."},{"issue":"15","key":"10.1016\/j.compbiolchem.2025.108546_bib11","doi-asserted-by":"crossref","first-page":"2114","DOI":"10.1093\/bioinformatics\/btu170","article-title":"Trimmomatic: a flexible trimmer for illumina sequence data","volume":"30","author":"Bolger","year":"2014","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib12","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.cbpa.2019.05.006","article-title":"Regulation of glyceraldehyde-3-phosphate dehydrogenase by hypoxia inducible factor 1 in the White shrimp litopenaeus vannamei during hypoxia and reoxygenation","volume":"235","author":"Camacho-Jim\u00e9nez","year":"2019","journal-title":"Comp. Biochem. Physiol. Part A Mol. Integr. Physiol."},{"issue":"5","key":"10.1016\/j.compbiolchem.2025.108546_bib13","doi-asserted-by":"crossref","first-page":"D1227","DOI":"10.1093\/nar\/gkad1040","article-title":"DGIdb 5.0: rebuilding the drug\u2013gene interaction database for precision Medicine and drug discovery platforms","volume":"52","author":"Cannon","year":"2024","journal-title":"Nucleic Acids Res."},{"issue":"8","key":"10.1016\/j.compbiolchem.2025.108546_bib14","first-page":"2","article-title":"Org.hs.eg.db: genome wide annotation for human","volume":"3","author":"Carlson","year":"2019","journal-title":"R. Package Version"},{"issue":"8","key":"10.1016\/j.compbiolchem.2025.108546_bib15","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1038\/nrneph.2014.102","article-title":"Pre-eclampsia part 1:current understanding of its pathophysiology","volume":"10","author":"Chaiworapongsa","year":"2014","journal-title":"Nat. Rev. Nephrol."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib16","doi-asserted-by":"crossref","first-page":"2764","DOI":"10.1074\/jbc.M507330200","article-title":"N-myc down-regulated gene 1 modulates the response of term human trophoblasts to hypoxic injury","volume":"281","author":"Chen","year":"2006","journal-title":"J. Biol. Chem."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib17","doi-asserted-by":"crossref","DOI":"10.3389\/fmolb.2023.1209144","article-title":"Association of the LEP gene with immune infiltration as a diagnostic biomarker in preeclampsia","volume":"10","author":"Chen","year":"2023","journal-title":"Front Mol. Biosci."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib18","doi-asserted-by":"crossref","DOI":"10.1186\/1752-0509-8-S4-S11","article-title":"C.Y. Lin, cytohubba: identifying hub objects and sub-networks from complex interactome","author":"Chin","year":"2014","journal-title":"BMC Syst. Biol."},{"issue":"7184","key":"10.1016\/j.compbiolchem.2025.108546_bib19","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1038\/nature06734","article-title":"The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth","volume":"452","author":"Christofk","year":"2008","journal-title":"Nature"},{"issue":"14","key":"10.1016\/j.compbiolchem.2025.108546_bib20","doi-asserted-by":"crossref","first-page":"1846","DOI":"10.1093\/bioinformatics\/btm254","article-title":"GEOquery: a bridge between the gene expression omnibus (GEO) and BioConductor","author":"Davis","year":"2007","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib21","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-73796-9","article-title":"Protein biomarker signatures of preeclampsia - a longitudinal 5000-multiplex proteomics study","volume":"14","author":"Degnes","year":"2024","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.compbiolchem.2025.108546_bib22","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.reprotox.2009.11.004","article-title":"The antioxidative effect of estradiol therapy on erythrocytes in women with preeclampsia","volume":"29","author":"Djordjevi\u0107","year":"2010","journal-title":"Reprod. Toxicol."},{"issue":"10","key":"10.1016\/j.compbiolchem.2025.108546_bib23","doi-asserted-by":"crossref","first-page":"786","DOI":"10.2174\/1389201019666180925120109","article-title":"Preeclampsia - current management and future approach","volume":"19","author":"Dymara-Konopka","year":"2018","journal-title":"Curr. Pharm. Biotechnol."},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib24","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1097\/WNO.0b013e3182594001","article-title":"The use of acetazolamide during pregnancy in intracranial hypertension patients","volume":"33","author":"Falardeau","year":"2013","journal-title":"J. Neuroophthalmol."},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib25","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1097\/WNO.0b013e3182594001","article-title":"The use of acetazolamide during pregnancy in intracranial hypertension patients","volume":"33","author":"Falardeau","year":"2013","journal-title":"J. NeuroOphthalmol."},{"issue":"5","key":"10.1016\/j.compbiolchem.2025.108546_bib26","doi-asserted-by":"crossref","first-page":"5997","DOI":"10.3892\/mmr.2017.7341","article-title":"Association of a reduction of G-protein coupled receptor 30 expression and the pathogenesis of preeclampsia","volume":"16","author":"Feng","year":"2017","journal-title":"Mol. Med. Rep."},{"issue":"10","key":"10.1016\/j.compbiolchem.2025.108546_bib27","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1210\/me.2010-0142","article-title":"Research resource: comprehensive expression Atlas of the fibroblast growth factor system in adult mouse","volume":"24","author":"Fon Tacer","year":"2010","journal-title":"Mol. Endocrinol."},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib29","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.placenta.2017.01.126","article-title":"Increased NDRG1 expression attenuates trophoblast invasion through ERK\/MMP-9 pathway in preeclampsia","volume":"51","author":"Fu","year":"2017","journal-title":"Placenta"},{"issue":"2","key":"10.1016\/j.compbiolchem.2025.108546_bib30","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ygeno.2017.01.005","article-title":"Improvements and impacts of GRCh38 human reference on high throughput sequencing data analysis","volume":"109","author":"Guo","year":"2017","journal-title":"Genomics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib31","doi-asserted-by":"crossref","DOI":"10.3389\/fmolb.2023.1248771","article-title":"Elevated expression of glycolytic genes as a prominent feature of early-onset preeclampsia: insights from integrative transcriptomic analysis","volume":"10","author":"He","year":"2023","journal-title":"Front. Mol. Biosci."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib32","series-title":"StatPearls","article-title":"Hydralazine","author":"Herman","year":"2024"},{"issue":"6","key":"10.1016\/j.compbiolchem.2025.108546_bib33","doi-asserted-by":"crossref","first-page":"R693","DOI":"10.1152\/ajpregu.00259.2017","article-title":"Immune regulation of systemic hypertension, pulmonary arterial hypertension, and preeclampsia: shared disease mechanisms and translational opportunities","volume":"313","author":"Jafri","year":"2017","journal-title":"Am. J. Physiol. Regul. Integr. Comp. Physiol."},{"issue":"7417","key":"10.1016\/j.compbiolchem.2025.108546_bib34","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1038\/489511a","article-title":"Cancer metabolism: when more is less","volume":"489","author":"Jiang","year":"2012","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib35","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1515\/med-2020-0206","article-title":"Trim24 prompts tumor progression via inducing EMT in renal cell carcinoma","volume":"15","author":"Jiang","year":"2020","journal-title":"Open Med."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib36","series-title":"StatPearls","article-title":"Chlorthalidone","author":"Kerndt","year":"2024"},{"issue":"4","key":"10.1016\/j.compbiolchem.2025.108546_bib37","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1038\/nmeth.3317","article-title":"HISAT: a fast spliced aligner with low memory requirements","volume":"12","author":"Kim","year":"2015","journal-title":"Nat. Methods"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib38","series-title":"Proceedings of the 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India","first-page":"507","article-title":"A machine learning approach for wind speed forecasting","author":"Krishnaveni","year":"2021"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib39","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1186\/1471-2105-9-559","article-title":"WGCNA: an R package for weighted correlation network analysis","volume":"9","author":"Langfelder","year":"2008","journal-title":"BMC Bioinforma."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib40","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1093\/bioinformatics\/btm563","article-title":"Defining clusters from a hierarchical cluster tree: the dynamic tree cut package for r","volume":"24","author":"Langfelder","year":"2008","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib41","doi-asserted-by":"crossref","first-page":"288","DOI":"10.3389\/fgene.2013.00288","article-title":"Sequencing quality assessment tools to enable data-driven informatics for high throughput genomics","volume":"4","author":"Leggett","year":"2013","journal-title":"Front. Genet."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib42","doi-asserted-by":"crossref","first-page":"D19","DOI":"10.1093\/nar\/gkq1019","article-title":"International nucleotide sequence database collaboration, the sequence read archive","volume":"39","author":"Leinonen","year":"2011","journal-title":"Nucleic Acids Res."},{"issue":"16","key":"10.1016\/j.compbiolchem.2025.108546_bib43","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.1093\/bioinformatics\/btp352","article-title":"The sequence Alignment\/Map format and SAMtools","volume":"25","author":"Li","year":"2009","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib44","article-title":"Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches","volume":"15","author":"Li","year":"2024","journal-title":"Front. Immunol."},{"issue":"10","key":"10.1016\/j.compbiolchem.2025.108546_bib45","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkt214","article-title":"The subread aligner: fast, accurate and scalable read mapping by seed-and-vote","volume":"41","author":"Liao","year":"2013","journal-title":"Nucleic Acids Res."},{"issue":"7","key":"10.1016\/j.compbiolchem.2025.108546_bib46","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1093\/bioinformatics\/btt656","article-title":"Featurecounts: an efficient general purpose program for assigning sequence reads to genomic features","volume":"30","author":"Liao","year":"2014","journal-title":"Bioinformatics"},{"issue":"3","key":"10.1016\/j.compbiolchem.2025.108546_bib47","first-page":"825","article-title":"The effects of estradiol on inflammatory and endothelial dysfunction in rats with preeclampsia","volume":"45","author":"Lin","year":"2020","journal-title":"Int. J. Mol. Med."},{"issue":"3","key":"10.1016\/j.compbiolchem.2025.108546_bib48","first-page":"825","article-title":"The effects of estradiol on inflammatory and endothelial dysfunction in rats with preeclampsia","volume":"45","author":"Lin","year":"2020","journal-title":"Int. J. Mol. Med."},{"issue":"8","key":"10.1016\/j.compbiolchem.2025.108546_bib49","doi-asserted-by":"crossref","first-page":"2328","DOI":"10.3390\/biomedicines11082328","article-title":"Single-cell RNA sequencing and microarray analysis reveal the role of lipid-metabolism-related genes and cellular immune infiltration in pre-eclampsia and identify novel biomarkers for pre-eclampsia","volume":"11","author":"Liu","year":"2023","journal-title":"Biomedicines"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib50","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1186\/s13059-014-0550-8","article-title":"Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2","volume":"15","author":"Love","year":"2014","journal-title":"Genome Biol."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib51","doi-asserted-by":"crossref","DOI":"10.3389\/fcell.2021.654337","article-title":"Interplay between glucose metabolism and chromatin modifications in cancer","volume":"9","author":"Ma","year":"2021","journal-title":"Front. Cell Dev. Biol."},{"issue":"7","key":"10.1016\/j.compbiolchem.2025.108546_bib52","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1016\/j.biocel.2010.02.005","article-title":"Pyruvate kinase type M2: a key regulator of the metabolic budget system in tumor cells","volume":"43","author":"Mazurek","year":"2011","journal-title":"Int. J. Biochem. Cell Biol."},{"issue":"2(2","key":"10.1016\/j.compbiolchem.2025.108546_bib53","article-title":"Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions","volume":"6","author":"Ogutu","year":"2012","journal-title":"BMC Proc."},{"issue":"9","key":"10.1016\/j.compbiolchem.2025.108546_bib54","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1038\/nbt1242","article-title":"Performance comparison of one-color and two-color platforms within the MicroArray quality control (MAQC) project","volume":"24","author":"Patterson","year":"2006","journal-title":"Nat. Biotechnol."},{"issue":"10","key":"10.1016\/j.compbiolchem.2025.108546_bib55","doi-asserted-by":"crossref","first-page":"3697","DOI":"10.1073\/pnas.0500369102","article-title":"Identification and functional significance of genes regulated by structurally different histone deacetylase inhibitors","volume":"102","author":"Peart","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"5","key":"10.1016\/j.compbiolchem.2025.108546_bib56","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1038\/s41581-019-0119-6","article-title":"Pre-eclampsia: pathogenesis, novel diagnostics and therapies","volume":"15","author":"Phipps","year":"2019","journal-title":"Nat. Rev. Nephrol."},{"issue":"5728","key":"10.1016\/j.compbiolchem.2025.108546_bib57","doi-asserted-by":"crossref","first-page":"1592","DOI":"10.1126\/science.1111726","article-title":"Latest advances in understanding preeclampsia","volume":"308","author":"Redman","year":"2005","journal-title":"Science"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib58","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/1471-2105-12-77","article-title":"pROC: an open-source package for r and S+ to analyze and compare ROC curves","volume":"12","author":"Robin","year":"2011","journal-title":"BMC Bioinforma."},{"issue":"2","key":"10.1016\/j.compbiolchem.2025.108546_bib59","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/S1071-5576(97)00104-4","article-title":"Uteroplacental pathology and maternal arterial mean blood pressure in spontaneous prematurity","volume":"5","author":"Salafia","year":"1998","journal-title":"J. Soc. Gynecol. Invest."},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11906-017-0706-5","article-title":"Anti-angiogenesis and preeclampsia in 2016","volume":"19","author":"Schrey-Petersen","year":"2017","journal-title":"Curr. Hypertens. Rep."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib61","doi-asserted-by":"crossref","first-page":"2498","DOI":"10.1101\/gr.1239303","article-title":"Cytoscape: a software environment for integrated models of biomolecular interaction networks","volume":"13","author":"Shannon","year":"2003","journal-title":"Genome Res"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib62","doi-asserted-by":"crossref","first-page":"2543","DOI":"10.2147\/DDDT.S304316","article-title":"Estrogen and preeclampsia: potential of estrogens as therapeutic agents in preeclampsia","volume":"15","author":"Shu","year":"2021","journal-title":"Drug Des. Dev. Ther."},{"issue":"7","key":"10.1016\/j.compbiolchem.2025.108546_bib63","doi-asserted-by":"crossref","first-page":"1642","DOI":"10.3390\/cells9071642","article-title":"The NLRP3 inflammasome role in the pathogenesis of pregnancy induced hypertension and preeclampsia","volume":"9","author":"Socha","year":"2020","journal-title":"Cells"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib64","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1126\/science.1087447","article-title":"A Gene-Coexpression network for global discovery of conserved genetic modules","volume":"302","author":"Stuart","year":"2003","journal-title":"science"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib65","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1007\/s10142-023-01185-y","article-title":"Hyper-methylation of ABCG1 as an epigenetics biomarker in non-small cell lung cancer","volume":"23","author":"Tran","year":"2023","journal-title":"Funct. Integr. Genom."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib66","article-title":"Clusterprofiler 4.0: a universal enrichment tool for interpreting omics data","volume":"2","author":"Wu","year":"2021","journal-title":"Innovation"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib67","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3389\/fgene.2020.00019","article-title":"High-Throughput transcriptome profiling in drug and biomarker discovery","volume":"11","author":"Yang","year":"2020","journal-title":"Front. Genet."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib68","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1534\/genetics.107.085589","article-title":"Bayesian lasso for quantitative trait loci mapping","volume":"179","author":"Yi","year":"2008","journal-title":"Genetics"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib69","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/1471-2105-8-22","article-title":"Gene network interconnectedness and the generalized topological overlap measure","volume":"8","author":"Yip","year":"2007","journal-title":"BMC Bioinforma."},{"issue":"12","key":"10.1016\/j.compbiolchem.2025.108546_bib70","first-page":"477","article-title":"ReactomePA: an R\/Bioconductor package for reactome pathway analysis and visualization","volume":"12","author":"Yu","year":"2016","journal-title":"Mol. Biosyst."},{"issue":"3","key":"10.1016\/j.compbiolchem.2025.108546_bib71","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1161\/CIRCRESAHA.122.321837","article-title":"NDRG1 signaling is essential for endothelial inflammation and vascular remodeling","volume":"132","author":"Zhang","year":"2023","journal-title":"Circ. Res."},{"issue":"1","key":"10.1016\/j.compbiolchem.2025.108546_bib72","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1186\/s13048-022-00948-8","article-title":"High expression of TRIM24 predicts worse prognosis and promotes proliferation and metastasis of epithelial ovarian cancer","volume":"15","author":"Zhang","year":"2022","journal-title":"J. Ovarian Res."},{"issue":"2","key":"10.1016\/j.compbiolchem.2025.108546_bib73","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s10735-018-9757-4","article-title":"The decreased expression of Stat3 and p-Stat3 in preeclampsia-like rat placenta","volume":"49","author":"Zhang","year":"2018","journal-title":"J. Mol. Histol."},{"issue":"7","key":"10.1016\/j.compbiolchem.2025.108546_bib74","doi-asserted-by":"crossref","first-page":"2862","DOI":"10.1172\/JCI66966","article-title":"Reversal of gene dysregulation in cultured cytotrophoblasts reveals possible causes of preeclampsia","volume":"123","author":"Zhou","year":"2013","journal-title":"J. Clin. Investig."},{"key":"10.1016\/j.compbiolchem.2025.108546_bib75","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. B"},{"key":"10.1016\/j.compbiolchem.2025.108546_bib76","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Ser. B"}],"container-title":["Computational Biology and Chemistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1476927125002063?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1476927125002063?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T10:47:15Z","timestamp":1779446835000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1476927125002063"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":76,"alternative-id":["S1476927125002063"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiolchem.2025.108546","relation":{},"ISSN":["1476-9271"],"issn-type":[{"value":"1476-9271","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Transcriptomic profiling and biomarker discovery in pre-eclampsia: An integrated approach leveraging WGCNA and LASSO with ROC validation","name":"articletitle","label":"Article Title"},{"value":"Computational Biology and Chemistry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiolchem.2025.108546","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108546"}}