Prediction of condition-specific regulatory genes using machine learning.
Song, Qi
Prediction of condition-specific regulatory genes using machine learning. [electronic resource] - Nucleic acids research 06 2020 - e62 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
1362-4962
10.1093/nar/gkaa264 doi
Arabidopsis--genetics
Arabidopsis Proteins
Datasets as Topic
Deep Learning
Gene Expression Profiling
Gene Expression Regulation, Plant
Gene Regulatory Networks
Genes, Plant--genetics
Genes, Regulator
Machine Learning
Promoter Regions, Genetic--genetics
RNA-Seq
Single-Cell Analysis
Stress, Physiological--genetics
Transcription Factors
Prediction of condition-specific regulatory genes using machine learning. [electronic resource] - Nucleic acids research 06 2020 - e62 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
1362-4962
10.1093/nar/gkaa264 doi
Arabidopsis--genetics
Arabidopsis Proteins
Datasets as Topic
Deep Learning
Gene Expression Profiling
Gene Expression Regulation, Plant
Gene Regulatory Networks
Genes, Plant--genetics
Genes, Regulator
Machine Learning
Promoter Regions, Genetic--genetics
RNA-Seq
Single-Cell Analysis
Stress, Physiological--genetics
Transcription Factors