Learning causal networks using inducible transcription factors and transcriptome‐wide time series

Learning causal networks using inducible transcription factors and transcriptome‐wide time series

Abstract We present IDEA (the Induction Dynamics gene Expression Atlas), a dataset constructed by independently inducing hundreds of transcription factors (TFs) and measuring timecourses of the resulting gene expression responses in budding yeast. Each experiment captures a regulatory cascade connec...

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Bibliographic Details
Main Authors: Sean R Hackett, Edward A Baltz, Marc Coram, Bernd J Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G Hendrickson, Marc Berndl, R Scott McIsaac
Format: Article
Language:English
Published: Springer Nature 2020-03-01
Series:Molecular Systems Biology
Subjects:
causal inference
gene expression
transcription factors
whole‐cell modeling
dynamical systems
Online Access:https://doi.org/10.15252/msb.20199174
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https://doi.org/10.15252/msb.20199174

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