Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data.
about
Unraveling Kinase Activation Dynamics Using Kinase-Substrate Relationships from Temporal Large-Scale Phosphoproteomics Studies.PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection.Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes.
P2860
Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@ast
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@en
type
label
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@ast
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@en
prefLabel
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@ast
Positive-unlabeled ensemble le ...... ynamic phosphoproteomics data.
@en
P2093
P2860
P356
P1433
P1476
Positive-unlabeled ensemble le ...... dynamic phosphoproteomics data
@en
P2093
Pengyi Yang
Raja Jothi
Yee Hwa Yang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV550
P407
P577
2015-09-22T00:00:00Z