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dc.contributor.authorCummins, Breschine
dc.contributor.authorMotta, Francis C.
dc.contributor.authorMoseley, Robert C.
dc.contributor.authorDeckard, Anastasia
dc.contributor.authorCampione, Sophia
dc.contributor.authorGedeon, Tomáš
dc.contributor.authorMischaikow, Konstantin
dc.contributor.authorHaase, Steven B.
dc.identifier.citationCummins B, Motta FC, Moseley RC, Deckard A, Campione S, Gameiro M, et al. (2022) Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Comput Biol 18(10): e1010145.
dc.description.abstractLarge programs of dynamic gene expression, like cell cyles and circadian rhythms, are controlled by a relatively small “core” network of transcription factors and post-translational modifiers, working in concerted mutual regulation. Recent work suggests that system-independent, quantitative features of the dynamics of gene expression can be used to identify core regulators. We introduce an approach of iterative network hypothesis reduction from time-series data in which increasingly complex features of the dynamic expression of individual, pairs, and entire collections of genes are used to infer functional network models that can produce the observed transcriptional program. The culmination of our work is a computational pipeline, Iterative Network Hypothesis Reduction from Temporal Dynamics (Inherent dynamics pipeline), that provides a priority listing of targets for genetic perturbation to experimentally infer network structure. We demonstrate the capability of this integrated computational pipeline on synthetic and yeast cell-cycle data.en_US
dc.publisherPublic Library of Scienceen_US
dc.subjectgenetic networksen_US
dc.subjecthypothesis reductionen_US
dc.subjecttime seriesen_US
dc.titleExperimental guidance for discovering genetic networks through hypothesis reduction on time seriesen_US
mus.citation.journaltitlePLOS Computational Biologyen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.universityMontana State University - Bozemanen_US

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