Off the deep end: What can deep learning do for the gene expression field?

Author:

Raicu Ana-MariaORCID,Fay Justin C.ORCID,Rohner NicolasORCID,Zeitlinger JuliaORCID,Arnosti David N.ORCID

Publisher

Elsevier BV

Subject

Cell Biology,Molecular Biology,Biochemistry

Reference15 articles.

1. Seven myths of how transcription factors read the cis-regulatory code;Zeitlinger;Curr. Opin. Syst. Biol.,2020

2. DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers;de Almeida;Nat. Genet.,2022

3. Deep learning at base-resolution reveals motif syntax of the cis-regulatory code;Avsec;BioRxiv,2020

4. An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding;Srivastava;Genome Biol.,2021

5. Obtaining genetics insights from deep learning via explainable artificial intelligence;Novakovsky;Nat. Rev. Genet.,2022

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