{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:08:13Z","timestamp":1783955293431,"version":"3.55.0"},"reference-count":21,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["BioSystems"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.biosystems.2026.105819","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:23:07Z","timestamp":1780327387000},"page":"105819","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Enhancing statistical accuracy in gene perturbation studies"],"prefix":"10.1016","volume":"266","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8134-3041","authenticated-orcid":false,"given":"Vijender","family":"Kalmotia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.biosystems.2026.105819_b1","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1016\/j.cell.2016.11.048","article-title":"A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response","volume":"167","author":"Adamson","year":"2016","journal-title":"Cell"},{"issue":"4","key":"10.1016\/j.biosystems.2026.105819_b2","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1111\/j.1541-0420.2005.00377.x","article-title":"Doubly robust estimation in missing data and causal inference models","volume":"61","author":"Bang","year":"2005","journal-title":"Biometrics"},{"issue":"28","key":"10.1016\/j.biosystems.2026.105819_b3","first-page":"1","article-title":"Pyro: Deep universal probabilistic programming","volume":"20","author":"Bingham","year":"2019","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"10.1016\/j.biosystems.2026.105819_b4","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1111\/rssb.12265","article-title":"Panning for gold: Model-X knockoffs for high-dimensional controlled variable selection","volume":"80","author":"Cand\u00e8s","year":"2018","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"issue":"Suppl_1","key":"10.1016\/j.biosystems.2026.105819_b5","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1093\/bioinformatics\/btaa796","article-title":"Adversarial deconfounding autoencoders for learning robust gene expression embeddings","volume":"36","author":"Dincer","year":"2020","journal-title":"Bioinformatics"},{"issue":"7","key":"10.1016\/j.biosystems.2026.105819_b6","doi-asserted-by":"crossref","first-page":"1853","DOI":"10.1016\/j.cell.2016.11.038","article-title":"Perturb-seq: Dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens","volume":"167","author":"Dixit","year":"2016","journal-title":"Cell"},{"issue":"8","key":"10.1016\/j.biosystems.2026.105819_b7","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1002\/1521-4036(200112)43:8<985::AID-BIMJ985>3.0.CO;2-4","article-title":"On the false discovery rate and expected type I errors","volume":"43","author":"Finner","year":"2001","journal-title":"Biometr J"},{"issue":"1\u20132","key":"10.1016\/j.biosystems.2026.105819_b8","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.cell.2018.11.029","article-title":"A genome-wide framework for mapping gene regulation via cellular genetic screens","volume":"176","author":"Gasperini","year":"2019","journal-title":"Cell"},{"key":"10.1016\/j.biosystems.2026.105819_b9","series-title":"Generalized Additive Models","author":"Hastie","year":"1990"},{"key":"10.1016\/j.biosystems.2026.105819_b10","doi-asserted-by":"crossref","unstructured":"Jacob, B., et al., 2018. Quantization and training of neural networks for efficient integer-arithmetic-only inference. In: Proc CVPR.","DOI":"10.1109\/CVPR.2018.00286"},{"issue":"1","key":"10.1016\/j.biosystems.2026.105819_b11","doi-asserted-by":"crossref","DOI":"10.2202\/1557-4679.1043","article-title":"Targeted maximum likelihood learning","volume":"2","author":"van der Laan","year":"2006","journal-title":"Int. J. Biostat."},{"key":"10.1016\/j.biosystems.2026.105819_b12","doi-asserted-by":"crossref","unstructured":"Liberty, E., 2013. Simple and deterministic matrix sketching. In: Proc 19th ACM SIGKDD Int Conf Knowl Discov Data Min. pp. 581\u2013588.","DOI":"10.1145\/2487575.2487623"},{"issue":"12","key":"10.1016\/j.biosystems.2026.105819_b13","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1038\/s41592-018-0229-2","article-title":"Deep generative modeling for single-cell transcriptomics","volume":"15","author":"Lopez","year":"2018","journal-title":"Nat. Methods"},{"issue":"10","key":"10.1016\/j.biosystems.2026.105819_b14","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1038\/s41587-021-00927-2","article-title":"Scalable, multimodal profiling of chromatin accessibility and protein levels in single cells","volume":"39","author":"Mimitou","year":"2021","journal-title":"Nat. Biotechnol."},{"issue":"2","key":"10.1016\/j.biosystems.2026.105819_b15","first-page":"179","article-title":"Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing","volume":"40","author":"Replogle","year":"2022","journal-title":"Nat. Biotechnol."},{"issue":"6493","key":"10.1016\/j.biosystems.2026.105819_b16","first-page":"1430","article-title":"High-speed fluorescence image\u2013enabled cell sorting","volume":"368","author":"Schraivogel","year":"2020","journal-title":"Science"},{"issue":"3","key":"10.1016\/j.biosystems.2026.105819_b17","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1038\/nrg3833","article-title":"Computational and analytical challenges in single-cell transcriptomics","volume":"13","author":"Stegle","year":"2012","journal-title":"Nat. Rev. Genet."},{"issue":"5","key":"10.1016\/j.biosystems.2026.105819_b18","first-page":"579","article-title":"Scaling single-cell perturbation screens with multi-target CRISPR-Cas9","volume":"38","author":"Weinreb","year":"2020","journal-title":"Nat. Biotechnol."},{"issue":"2","key":"10.1016\/j.biosystems.2026.105819_b19","first-page":"139","article-title":"High-resolution mapping of gene regulation via genetic perturbation","volume":"16","author":"Xie","year":"2019","journal-title":"Nat Methods"},{"issue":"1","key":"10.1016\/j.biosystems.2026.105819_b20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13059-020-1928-4","article-title":"Scmageck links genotypes with multiple phenotypes in single-cell CRISPR screens","volume":"21","author":"Yang","year":"2020","journal-title":"Genome Biol."},{"key":"10.1016\/j.biosystems.2026.105819_b21","first-page":"375","article-title":"Enhancer\u2013gene regulation prediction using graph attention networks","volume":"4","author":"Zhang","year":"2022","journal-title":"Nat. Mach. Intell."}],"container-title":["BioSystems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303264726001292?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0303264726001292?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T14:29:41Z","timestamp":1783952981000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0303264726001292"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":21,"alternative-id":["S0303264726001292"],"URL":"https:\/\/doi.org\/10.1016\/j.biosystems.2026.105819","relation":{},"ISSN":["0303-2647"],"issn-type":[{"value":"0303-2647","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhancing statistical accuracy in gene perturbation studies","name":"articletitle","label":"Article Title"},{"value":"BioSystems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.biosystems.2026.105819","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"105819"}}