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