A fast and high performance multiple data integration algorithm for identifying human disease genes.
about
A review on machine learning principles for multi-view biological data integration.Predicting disease-related genes using integrated biomedical networks.Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features.Constructing an integrated gene similarity network for the identification of disease genes.Scuba: scalable kernel-based gene prioritization.pBRIT: Gene Prioritization by Correlating Functional and Phenotypic Annotations Through Integrative Data Fusion.
P2860
A fast and high performance multiple data integration algorithm for identifying human disease genes.
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
A fast and high performance mu ...... entifying human disease genes.
@ast
A fast and high performance mu ...... entifying human disease genes.
@en
type
label
A fast and high performance mu ...... entifying human disease genes.
@ast
A fast and high performance mu ...... entifying human disease genes.
@en
prefLabel
A fast and high performance mu ...... entifying human disease genes.
@ast
A fast and high performance mu ...... entifying human disease genes.
@en
P2093
P2860
P1433
P1476
A fast and high performance mu ...... entifying human disease genes.
@en
P2093
Bolin Chen
Fang-Xiang Wu
Jianxin Wang
Xuequn Shang
P2860
P2888
P356
10.1186/1755-8794-8-S3-S2
P478
P577
2015-09-23T00:00:00Z
P6179
1002335331