{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T17:24:11Z","timestamp":1764350651726,"version":"3.37.3"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"20","license":[{"start":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T00:00:00Z","timestamp":1620777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001729","name":"Swedish Foundation for Strategic Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001729","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Accurate inference of gene regulatory interactions is of importance for understanding the mechanisms of underlying biological processes. For gene expression data gathered from targeted perturbations, gene regulatory network (GRN) inference methods that use the perturbation design are the top performing methods. However, the connection between the perturbation design and gene expression can be obfuscated due to problems, such as experimental noise or off-target effects, limiting the methods\u2019 ability to reconstruct the true GRN.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this study, we propose an algorithm, IDEMAX, to infer the effective perturbation design from gene expression data in order to eliminate the potential risk of fitting a disconnected perturbation design to gene expression. We applied IDEMAX to synthetic data from two different data generation tools, GeneNetWeaver and GeneSPIDER, and assessed its effect on the experiment design matrix as well as the accuracy of the GRN inference, followed by application to a real dataset. The results show that our approach consistently improves the accuracy of GRN inference compared to using the intended perturbation design when much of the signal is hidden by noise, which is often the case for real data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>https:\/\/bitbucket.org\/sonnhammergrni\/idemax.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab367","type":"journal-article","created":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T19:15:20Z","timestamp":1620760520000},"page":"3553-3559","source":"Crossref","is-referenced-by-count":6,"title":["Inferring the experimental design for accurate gene regulatory network inference"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8284-356X","authenticated-orcid":false,"given":"Deniz","family":"Se\u00e7ilmi\u015f","sequence":"first","affiliation":[{"name":"Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University , Solna 17121, Sweden"}]},{"given":"Thomas","family":"Hillerton","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University , Solna 17121, Sweden"}]},{"given":"Sven","family":"Nelander","sequence":"additional","affiliation":[{"name":"Department of Immunology, Genetics and Pathology and Science for Life Laboratory, Uppsala University , SE-75185 Uppsala, Sweden"}]},{"given":"Erik L L","family":"Sonnhammer","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University , Solna 17121, Sweden"}]}],"member":"286","published-online":{"date-parts":[[2021,5,12]]},"reference":[{"key":"2023051609012139800_btab367-B1","doi-asserted-by":"crossref","first-page":"58","DOI":"10.21500\/20112084.844","article-title":"Outliers detection and treatment: a review","volume":"3","author":"Cousineau","year":"2010","journal-title":"Int. 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