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Predicting which genes will respond to transcription factor perturbations
The ability to predict which genes will respond to the perturbation of a transcription factor serves as a benchmark for our systems-level understanding of transcriptional regulatory networks. In previous work, machine learning models have been trained to predict static gene expression levels in a bi...
Autores principales: | Kang, Yiming, Jung, Wooseok J, Brent, Michael R |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339286/ https://www.ncbi.nlm.nih.gov/pubmed/35666184 http://dx.doi.org/10.1093/g3journal/jkac144 |
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