000 | 01296 a2200385 4500 | ||
---|---|---|---|
005 | 20250518053536.0 | ||
264 | 0 | _c20200917 | |
008 | 202009s 0 0 eng d | ||
022 | _a1367-4811 | ||
024 | 7 |
_a10.1093/bioinformatics/btz629 _2doi |
|
040 |
_aNLM _beng _cNLM |
||
100 | 1 | _aZhang, Yanju | |
245 | 0 | 0 |
_aPeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins. _h[electronic resource] |
260 |
_bBioinformatics (Oxford, England) _c02 2020 |
||
300 |
_a704-712 p. _bdigital |
||
500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
650 | 0 | 4 | _aAlgorithms |
650 | 0 | 4 | _aComputational Biology |
650 | 0 | 4 | _aMachine Learning |
650 | 0 | 4 | _aPeptides |
650 | 0 | 4 | _aProteins |
700 | 1 | _aYu, Sha | |
700 | 1 | _aXie, Ruopeng | |
700 | 1 | _aLi, Jiahui | |
700 | 1 | _aLeier, André | |
700 | 1 | _aMarquez-Lago, Tatiana T | |
700 | 1 | _aAkutsu, Tatsuya | |
700 | 1 | _aSmith, A Ian | |
700 | 1 | _aGe, Zongyuan | |
700 | 1 | _aWang, Jiawei | |
700 | 1 | _aLithgow, Trevor | |
700 | 1 | _aSong, Jiangning | |
773 | 0 |
_tBioinformatics (Oxford, England) _gvol. 36 _gno. 3 _gp. 704-712 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1093/bioinformatics/btz629 _zAvailable from publisher's website |
999 |
_c29986802 _d29986802 |