iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals.
about
pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.MLACP: machine-learning-based prediction of anticancer peptides.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.A Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel Drugs
P2860
iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
iATC-mHyb: a hybrid multi-labe ...... tomical therapeutic chemicals.
@en
type
label
iATC-mHyb: a hybrid multi-labe ...... tomical therapeutic chemicals.
@en
prefLabel
iATC-mHyb: a hybrid multi-labe ...... tomical therapeutic chemicals.
@en
P2860
P356
P1433
P1476
iATC-mHyb: a hybrid multi-labe ...... tomical therapeutic chemicals.
@en
P2093
Shu-Guang Zhao
Xiang Cheng
P2860
P304
58494-58503
P356
10.18632/ONCOTARGET.17028
P407
P577
2017-04-11T00:00:00Z