{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T10:30:58Z","timestamp":1780396258003,"version":"3.54.1"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Genomics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Cardiomyopathy is a complex type of myocardial disease, and its incidence has increased significantly in recent years. Dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM) are two common and indistinguishable types of cardiomyopathy.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Here, a systematic multi-omics integration approach was proposed to identify cardiomyopathy-related core genes that could distinguish normal, DCM and ICM samples using cardiomyopathy expression profile data based on a human metabolic network. First, according to the differentially expressed genes between different states (DCM\/ICM and normal, or DCM and ICM) of samples, three sets of initial modules were obtained from the human metabolic network. Two permutation tests were used to evaluate the significance of the Pearson correlation coefficient difference score of the initial modules, and three candidate modules were screened out. Then, a cardiomyopathy risk module that was significantly related to DCM and ICM was determined according to the significance of the module score based on Markov random field. Finally, based on the shortest path between cardiomyopathy known genes, 13 core genes related to cardiomyopathy were identified. These core genes were enriched in pathways and functions significantly related to cardiomyopathy and could distinguish between samples of different states.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The identified core genes might serve as potential biomarkers of cardiomyopathy. This research will contribute to identifying potential biomarkers of cardiomyopathy and to distinguishing different types of cardiomyopathy.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12864-021-08271-0","type":"journal-article","created":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T04:51:07Z","timestamp":1641963067000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Identification of cardiomyopathy-related core genes through human metabolic networks and expression data"],"prefix":"10.1186","volume":"23","author":[{"given":"Zherou","family":"Rong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luanfeng","family":"Ge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyu","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Zou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuehan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"issue":"25","key":"8271_CR1","doi-asserted-by":"publisher","first-page":"2871","DOI":"10.1016\/j.jacc.2016.08.079","volume":"68","author":"MA Burke","year":"2016","unstructured":"Burke MA, Cook SA, Seidman JG, Seidman CE. Clinical and mechanistic insights into the genetics of cardiomyopathy. J Am Coll Cardiol. 2016;68(25):2871\u201386.","journal-title":"J Am Coll Cardiol"},{"issue":"7","key":"8271_CR2","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1161\/CIRCRESAHA.117.309711","volume":"121","author":"WJ McKenna","year":"2017","unstructured":"McKenna WJ, Maron BJ, Thiene G. Classification, epidemiology, and global burden of cardiomyopathies. Circ Res. 2017;121(7):722\u201330.","journal-title":"Circ Res"},{"issue":"14","key":"8271_CR3","doi-asserted-by":"publisher","first-page":"e008460","DOI":"10.1161\/JAHA.117.008460","volume":"7","author":"BA Tompkins","year":"2018","unstructured":"Tompkins BA, Rieger AC, Florea V, Banerjee MN, Natsumeda M, Nigh ED, et al. Comparison of Mesenchymal stem cell efficacy in ischemic versus nonischemic dilated cardiomyopathy. J Am Heart Assoc. 2018;7(14):e008460.","journal-title":"J Am Heart Assoc"},{"issue":"6","key":"8271_CR4","doi-asserted-by":"publisher","first-page":"1318","DOI":"10.1016\/0735-1097(92)90243-G","volume":"20","author":"JM Hare","year":"1992","unstructured":"Hare JM, Walford GD, Hruban RH, Hutchins GM, Deckers JW, Baughman KL. Ischemic cardiomyopathy: endomyocardial biopsy and ventriculographic evaluation of patients with congestive heart failure, dilated cardiomyopathy and coronary artery disease. J Am Coll Cardiol. 1992;20(6):1318\u201325.","journal-title":"J Am Coll Cardiol"},{"key":"8271_CR5","first-page":"4860","volume":"2018","author":"BF Giraldo","year":"2018","unstructured":"Giraldo BF, Pericas MF, Schroeder R, Voss A. Respiratory sinus arrhythmia quantified with linear and non-linear techniques to classify dilated and ischemic cardiomyopathy. Annu Int Conf IEEE Eng Med Biol Soc. 2018;2018:4860\u20133.","journal-title":"Annu Int Conf IEEE Eng Med Biol Soc"},{"issue":"1","key":"8271_CR6","doi-asserted-by":"publisher","first-page":"812","DOI":"10.1186\/s12864-018-5213-9","volume":"19","author":"ME Sweet","year":"2018","unstructured":"Sweet ME, Cocciolo A, Slavov D, Jones KL, Sweet JR, Graw SL, et al. Transcriptome analysis of human heart failure reveals dysregulated cell adhesion in dilated cardiomyopathy and activated immune pathways in ischemic heart failure. BMC Genomics. 2018;19(1):812.","journal-title":"BMC Genomics"},{"issue":"4","key":"8271_CR7","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1093\/cvr\/cvx017","volume":"113","author":"J Ritterhoff","year":"2017","unstructured":"Ritterhoff J, Tian R. Metabolism in cardiomyopathy: every substrate matters. Cardiovasc Res. 2017;113(4):411\u201321.","journal-title":"Cardiovasc Res"},{"key":"8271_CR8","doi-asserted-by":"publisher","first-page":"597546","DOI":"10.3389\/fcvm.2020.597546","volume":"7","author":"J Zhao","year":"2020","unstructured":"Zhao J, Yang S, Jing R, Jin H, Hu Y, Wang J, et al. Plasma Metabolomic profiles differentiate patients with dilated cardiomyopathy and ischemic cardiomyopathy. Front Cardiovasc Med. 2020;7:597546.","journal-title":"Front Cardiovasc Med"},{"key":"8271_CR9","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/5584_2017_105","volume":"1067","author":"N Alonso","year":"2018","unstructured":"Alonso N, Moliner P, Mauricio D. Pathogenesis, clinical features and treatment of diabetic cardiomyopathy. Adv Exp Med Biol. 2018;1067:197\u2013217.","journal-title":"Adv Exp Med Biol"},{"issue":"6","key":"8271_CR10","doi-asserted-by":"publisher","first-page":"1830","DOI":"10.1093\/ije\/dyy198","volume":"47","author":"DD Wang","year":"2018","unstructured":"Wang DD, Zheng Y, Toledo E, Razquin C, Ruiz-Canela M, Guasch-Ferre M, et al. Lipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial. Int J Epidemiol. 2018;47(6):1830\u201345.","journal-title":"Int J Epidemiol"},{"key":"8271_CR11","doi-asserted-by":"publisher","first-page":"489","DOI":"10.3389\/fphys.2018.00489","volume":"9","author":"Y Yang","year":"2018","unstructured":"Yang Y, Yang K, Hao T, Zhu G, Ling R, Zhou X, et al. Prediction of molecular mechanisms for LianXia NingXin formula: a network pharmacology study. Front Physiol. 2018;9:489.","journal-title":"Front Physiol"},{"issue":"2","key":"8271_CR12","doi-asserted-by":"publisher","first-page":"e42","DOI":"10.1093\/nar\/gks951","volume":"41","author":"L Chen","year":"2013","unstructured":"Chen L, Xuan J, Riggins RB, Wang Y, Clarke R. Identifying protein interaction subnetworks by a bagging Markov random field-based method. Nucleic Acids Res. 2013;41(2):e42.","journal-title":"Nucleic Acids Res"},{"issue":"12","key":"8271_CR13","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1093\/bioinformatics\/btm129","volume":"23","author":"Z Wei","year":"2007","unstructured":"Wei Z, Li H. A Markov random field model for network-based analysis of genomic data. Bioinformatics. 2007;23(12):1537\u201344.","journal-title":"Bioinformatics"},{"issue":"2","key":"8271_CR14","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1073\/pnas.79.2.655","volume":"79","author":"JL Swain","year":"1982","unstructured":"Swain JL, Sabina RL, Peyton RB, Jones RN, Wechsler AS, Holmes EW. Derangements in myocardial purine and pyrimidine nucleotide metabolism in patients with coronary artery disease and left ventricular hypertrophy. Proc Natl Acad Sci U S A. 1982;79(2):655\u20139.","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"9","key":"8271_CR15","doi-asserted-by":"publisher","first-page":"5471","DOI":"10.1073\/pnas.77.9.5471","volume":"77","author":"LW DeBoer","year":"1980","unstructured":"DeBoer LW, Ingwall JS, Kloner RA, Braunwald E. Prolonged derangements of canine myocardial purine metabolism after a brief coronary artery occlusion not associated with anatomic evidence of necrosis. Proc Natl Acad Sci U S A. 1980;77(9):5471\u20135.","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"D1","key":"8271_CR16","doi-asserted-by":"publisher","first-page":"D545","DOI":"10.1093\/nar\/gkaa970","volume":"49","author":"M Kanehisa","year":"2021","unstructured":"Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M. KEGG: integrating viruses and cellular organisms. Nucleic Acids Res. 2021;49(D1):D545\u201351.","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"8271_CR17","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s00424-009-0718-3","volume":"459","author":"E Soltysinska","year":"2009","unstructured":"Soltysinska E, Olesen SP, Christ T, Wettwer E, Varro A, Grunnet M, et al. Transmural expression of ion channels and transporters in human nondiseased and end-stage failing hearts. Pflugers Arch. 2009;459(1):11\u201323.","journal-title":"Pflugers Arch"},{"issue":"2","key":"8271_CR18","doi-asserted-by":"publisher","first-page":"101","DOI":"10.4161\/chan.4.2.10975","volume":"4","author":"N Gronich","year":"2010","unstructured":"Gronich N, Kumar A, Zhang Y, Efimov IR, Soldatov NM. Molecular remodeling of ion channels, exchangers and pumps in atrial and ventricular myocytes in ischemic cardiomyopathy. Channels (Austin). 2010;4(2):101\u20137.","journal-title":"Channels (Austin)"},{"issue":"4","key":"8271_CR19","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.hfc.2012.06.003","volume":"8","author":"TS Park","year":"2012","unstructured":"Park TS, Goldberg IJ. Sphingolipids, lipotoxic cardiomyopathy, and cardiac failure. Heart Fail Clin. 2012;8(4):633\u201341.","journal-title":"Heart Fail Clin"},{"issue":"5","key":"8271_CR20","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1016\/j.cjca.2017.12.029","volume":"34","author":"AC Carpentier","year":"2018","unstructured":"Carpentier AC. Abnormal myocardial dietary fatty acid metabolism and diabetic cardiomyopathy. Can J Cardiol. 2018;34(5):605\u201314.","journal-title":"Can J Cardiol"},{"issue":"1","key":"8271_CR21","doi-asserted-by":"publisher","first-page":"23","DOI":"10.12997\/jla.2020.9.1.23","volume":"9","author":"A Kovilakath","year":"2020","unstructured":"Kovilakath A, Cowart LA. Sphingolipid mediators of myocardial pathology. J Lipid Atheroscler. 2020;9(1):23\u201349.","journal-title":"J Lipid Atheroscler"},{"issue":"11","key":"8271_CR22","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1016\/j.tem.2016.07.005","volume":"27","author":"L Sasset","year":"2016","unstructured":"Sasset L, Zhang Y, Dunn TM, Di Lorenzo A. Sphingolipid De novo biosynthesis: a rheostat of cardiovascular homeostasis. Trends Endocrinol Metab. 2016;27(11):807\u201319.","journal-title":"Trends Endocrinol Metab"},{"issue":"3","key":"8271_CR23","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1097\/MOL.0b013e32814a57db","volume":"18","author":"TS Park","year":"2007","unstructured":"Park TS, Yamashita H, Blaner WS, Goldberg IJ. Lipids in the heart: a source of fuel and a source of toxins. Curr Opin Lipidol. 2007;18(3):277\u201382.","journal-title":"Curr Opin Lipidol"},{"issue":"2","key":"8271_CR24","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1093\/cvr\/cvs333","volume":"97","author":"Y Watanabe","year":"2013","unstructured":"Watanabe Y, Watanabe K, Kobayashi T, Saito Y, Fujioka D, Nakamura T, et al. Chronic depletion of glutathione exacerbates ventricular remodelling and dysfunction in the pressure-overloaded heart. Cardiovasc Res. 2013;97(2):282\u201392.","journal-title":"Cardiovasc Res"},{"issue":"7","key":"8271_CR25","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1097\/00004872-199307000-00001","volume":"11","author":"MM Doohan","year":"1993","unstructured":"Doohan MM, Rasmussen HH. Myocardial cation transport. J Hypertens. 1993;11(7):683\u201391.","journal-title":"J Hypertens"},{"issue":"1","key":"8271_CR26","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/S0022-2828(08)80007-7","volume":"27","author":"GN Pierce","year":"1995","unstructured":"Pierce GN, Czubryt MP. The contribution of ionic imbalance to ischemia\/reperfusion-induced injury. J Mol Cell Cardiol. 1995;27(1):53\u201363.","journal-title":"J Mol Cell Cardiol"},{"issue":"2","key":"8271_CR27","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.3892\/mmr.2015.4714","volume":"13","author":"Z Liu","year":"2016","unstructured":"Liu Z, Cai H, Dang Y, Qiu C, Wang J. Adenosine triphosphate-sensitive potassium channels and cardiomyopathies (review). Mol Med Rep. 2016;13(2):1447\u201354.","journal-title":"Mol Med Rep"},{"issue":"9","key":"8271_CR28","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1093\/cvr\/cvaa124","volume":"116","author":"R Coppini","year":"2020","unstructured":"Coppini R, Santini L, Olivotto I, Ackerman MJ, Cerbai E. Abnormalities in sodium current and calcium homoeostasis as drivers of arrhythmogenesis in hypertrophic cardiomyopathy. Cardiovasc Res. 2020;116(9):1585\u201399.","journal-title":"Cardiovasc Res"},{"key":"8271_CR29","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.gene.2018.01.055","volume":"648","author":"LL Fan","year":"2018","unstructured":"Fan LL, Huang H, Jin JY, Li JJ, Chen YQ, Zhao SP, et al. Whole exome sequencing identifies a novel mutation (c.333+2T>C) of TNNI3K in a Chinese family with dilated cardiomyopathy and cardiac conduction disease. Gene. 2018;648:63\u20137.","journal-title":"Gene"},{"key":"8271_CR30","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.yjmcc.2015.03.008","volume":"82","author":"A Milano","year":"2015","unstructured":"Milano A, Lodder EM, Bezzina CR. TNNI3K in cardiovascular disease and prospects for therapy. J Mol Cell Cardiol. 2015;82:167\u201373.","journal-title":"J Mol Cell Cardiol"},{"issue":"4","key":"8271_CR31","doi-asserted-by":"publisher","first-page":"229","DOI":"10.2174\/187152508785909546","volume":"6","author":"A Baartscheer","year":"2008","unstructured":"Baartscheer A, van Borren MM. Sodium ion transporters as new therapeutic targets in heart failure. Cardiovasc Hematol Agents Med Chem. 2008;6(4):229\u201336.","journal-title":"Cardiovasc Hematol Agents Med Chem"},{"issue":"5","key":"8271_CR32","doi-asserted-by":"publisher","first-page":"e0154398","DOI":"10.1371\/journal.pone.0154398","volume":"11","author":"AP Garneau","year":"2016","unstructured":"Garneau AP, Marcoux AA, Noel M, Frenette-Cotton R, Drolet MC, Couet J, et al. Ablation of potassium-chloride Cotransporter type 3 (Kcc3) in mouse causes multiple cardiovascular defects and isosmotic polyuria. PLoS One. 2016;11(5):e0154398.","journal-title":"PLoS One"},{"issue":"6","key":"8271_CR33","doi-asserted-by":"publisher","first-page":"C1210","DOI":"10.1152\/ajpcell.1999.277.6.C1210","volume":"277","author":"JE Race","year":"1999","unstructured":"Race JE, Makhlouf FN, Logue PJ, Wilson FH, Dunham PB, Holtzman EJ. Molecular cloning and functional characterization of KCC3, a new K-cl cotransporter. Am J Phys. 1999;277(6):C1210\u20139.","journal-title":"Am J Phys"},{"issue":"2","key":"8271_CR34","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1038\/mt.2015.176","volume":"24","author":"SC Kolwicz Jr","year":"2016","unstructured":"Kolwicz SC Jr, Odom GL, Nowakowski SG, Moussavi-Harami F, Chen X, Reinecke H, et al. AAV6-mediated cardiac-specific overexpression of Ribonucleotide Reductase enhances myocardial contractility. Mol Ther. 2016;24(2):240\u201350.","journal-title":"Mol Ther"},{"issue":"6","key":"8271_CR35","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1016\/j.yjmcc.2011.08.026","volume":"51","author":"FS Korte","year":"2011","unstructured":"Korte FS, Dai J, Buckley K, Feest ER, Adamek N, Geeves MA, et al. Upregulation of cardiomyocyte ribonucleotide reductase increases intracellular 2 deoxy-ATP, contractility, and relaxation. J Mol Cell Cardiol. 2011;51(6):894\u2013901.","journal-title":"J Mol Cell Cardiol"},{"key":"8271_CR36","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.3389\/fgene.2019.01116","volume":"10","author":"F Lin","year":"2019","unstructured":"Lin F, Gong X, Yu P, Yue A, Meng Q, Zheng L, et al. Distinct circulating expression profiles of long noncoding RNAs in heart failure patients with ischemic and nonischemic dilated cardiomyopathy. Front Genet. 2019;10:1116.","journal-title":"Front Genet"},{"issue":"20","key":"8271_CR37","doi-asserted-by":"publisher","first-page":"1543","DOI":"10.1136\/heartjnl-2018-313476","volume":"105","author":"M Schaufelberger","year":"2019","unstructured":"Schaufelberger M. Cardiomyopathy and pregnancy. Heart. 2019;105(20):1543\u201351.","journal-title":"Heart"},{"issue":"6","key":"8271_CR38","doi-asserted-by":"publisher","first-page":"1020","DOI":"10.1166\/jbn.2021.3098","volume":"17","author":"S Luo","year":"2021","unstructured":"Luo S, Gan L, Luo Y, Zhang Z, Li L, Wang H, et al. Application of molecular Nanoprobes in the analysis of differentially expressed genes and prognostic models of primary hepatocellular carcinoma. J Biomed Nanotechnol. 2021;17(6):1020\u201333.","journal-title":"J Biomed Nanotechnol"},{"issue":"4","key":"8271_CR39","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1007\/s12602-021-09748-w","volume":"13","author":"S Patra","year":"2021","unstructured":"Patra S, Saxena S, Sahu N, Pradhan B, Roychowdhury A. Systematic network and Meta-analysis on the antiviral mechanisms of probiotics: a preventive and treatment strategy to mitigate SARS-CoV-2 infection. Probiotics Antimicrob Proteins. 2021;13(4):1138\u201356.","journal-title":"Probiotics Antimicrob Proteins"},{"key":"8271_CR40","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1186\/1471-2105-9-559","volume":"9","author":"P Langfelder","year":"2008","unstructured":"Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9:559.","journal-title":"BMC Bioinformatics"},{"issue":"Database issue","key":"8271_CR41","first-page":"D991","volume":"41","author":"T Barrett","year":"2013","unstructured":"Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets--update. Nucleic Acids Res. 2013;41(Database issue):D991\u20135.","journal-title":"Nucleic Acids Res"},{"issue":"D1","key":"8271_CR42","doi-asserted-by":"publisher","first-page":"D614","DOI":"10.1093\/nar\/gky992","volume":"47","author":"A Noronha","year":"2019","unstructured":"Noronha A, Modamio J, Jarosz Y, Guerard E, Sompairac N, Preciat G, et al. The virtual metabolic human database: integrating human and gut microbiome metabolism with nutrition and disease. Nucleic Acids Res. 2019;47(D1):D614\u201324.","journal-title":"Nucleic Acids Res"},{"issue":"11","key":"8271_CR43","doi-asserted-by":"publisher","first-page":"2498","DOI":"10.1101\/gr.1239303","volume":"13","author":"P Shannon","year":"2003","unstructured":"Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498\u2013504.","journal-title":"Genome Res"},{"issue":"24","key":"8271_CR44","doi-asserted-by":"publisher","first-page":"12131","DOI":"10.18632\/aging.102546","volume":"11","author":"W Li","year":"2019","unstructured":"Li W, Deng G, Zhang J, Hu E, He Y, Lv J, et al. Identification of breast cancer risk modules via an integrated strategy. Aging (Albany NY). 2019;11(24):12131\u201346.","journal-title":"Aging (Albany NY)"},{"issue":"Suppl 7","key":"8271_CR45","doi-asserted-by":"publisher","first-page":"S10","DOI":"10.1186\/1471-2164-16-S7-S10","volume":"16","author":"X Shi","year":"2015","unstructured":"Shi X, Wang X, Shajahan A, Hilakivi-Clarke L, Clarke R, Xuan J. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency. BMC Genomics. 2015;16(Suppl 7):S10.","journal-title":"BMC Genomics"},{"issue":"Database issue","key":"8271_CR46","doi-asserted-by":"publisher","first-page":"D789","DOI":"10.1093\/nar\/gku1205","volume":"43","author":"JS Amberger","year":"2015","unstructured":"Amberger JS, Bocchini CA, Schiettecatte F, Scott AF, Hamosh A. OMIM.org: online Mendelian inheritance in man (OMIM(R)), an online catalog of human genes and genetic disorders. Nucleic Acids Res. 2015;43(Database issue):D789\u201398.","journal-title":"Nucleic Acids Res"},{"issue":"W1","key":"8271_CR47","doi-asserted-by":"publisher","first-page":"W90","DOI":"10.1093\/nar\/gkw377","volume":"44","author":"MV Kuleshov","year":"2016","unstructured":"Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 2016;44(W1):W90\u20137.","journal-title":"Nucleic Acids Res"}],"container-title":["BMC Genomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12864-021-08271-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12864-021-08271-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12864-021-08271-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,6]],"date-time":"2022-11-06T06:01:14Z","timestamp":1667714474000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcgenomics.biomedcentral.com\/articles\/10.1186\/s12864-021-08271-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,12]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["8271"],"URL":"https:\/\/doi.org\/10.1186\/s12864-021-08271-0","relation":{},"ISSN":["1471-2164"],"issn-type":[{"value":"1471-2164","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,12]]},"assertion":[{"value":"14 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"47"}}