000 01482 a2200433 4500
005 20250518100543.0
264 0 _c20200908
008 202009s 0 0 eng d
022 _a1362-4962
024 7 _a10.1093/nar/gkaa264
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aSong, Qi
245 0 0 _aPrediction of condition-specific regulatory genes using machine learning.
_h[electronic resource]
260 _bNucleic acids research
_c06 2020
300 _ae62 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aArabidopsis
_xgenetics
650 0 4 _aArabidopsis Proteins
650 0 4 _aDatasets as Topic
650 0 4 _aDeep Learning
650 0 4 _aGene Expression Profiling
650 0 4 _aGene Expression Regulation, Plant
650 0 4 _aGene Regulatory Networks
650 0 4 _aGenes, Plant
_xgenetics
650 0 4 _aGenes, Regulator
650 0 4 _aMachine Learning
650 0 4 _aPromoter Regions, Genetic
_xgenetics
650 0 4 _aRNA-Seq
650 0 4 _aSingle-Cell Analysis
650 0 4 _aStress, Physiological
_xgenetics
650 0 4 _aTranscription Factors
700 1 _aLee, Jiyoung
700 1 _aAkter, Shamima
700 1 _aRogers, Matthew
700 1 _aGrene, Ruth
700 1 _aLi, Song
773 0 _tNucleic acids research
_gvol. 48
_gno. 11
_gp. e62
856 4 0 _uhttps://doi.org/10.1093/nar/gkaa264
_zAvailable from publisher's website
999 _c30896113
_d30896113