000 | 01006 a2200265 4500 | ||
---|---|---|---|
005 | 20250518024757.0 | ||
264 | 0 | _c20190611 | |
008 | 201906s 0 0 eng d | ||
022 | _a1471-2164 | ||
024 | 7 |
_a10.1186/s12864-019-5528-1 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aZhao, Bi | |
245 | 0 | 0 |
_aSignificant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks. _h[electronic resource] |
260 |
_bBMC genomics _cFeb 2019 |
||
300 |
_a158 p. _bdigital |
||
500 | _aPublication Type: Evaluation Study; Journal Article | ||
650 | 0 | 4 | _aDatasets as Topic |
650 | 0 | 4 | _aGene Expression Regulation |
650 | 0 | 4 |
_aMicroRNAs _xmetabolism |
650 | 0 | 4 | _aNeural Networks, Computer |
650 | 0 | 4 |
_aRNA, Messenger _xmetabolism |
700 | 1 | _aXue, Bin | |
773 | 0 |
_tBMC genomics _gvol. 20 _gno. 1 _gp. 158 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1186/s12864-019-5528-1 _zAvailable from publisher's website |
999 |
_c29421341 _d29421341 |