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 |