A novel method to quantify gene set functional association based on gene ontology.
about
Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network.mirTarPri: improved prioritization of microRNA targets through incorporation of functional genomics dataIdentifying novel associations between small molecules and miRNAs based on integrated molecular networks.Prioritising risk pathways of complex human diseases based on functional profilingFunctional dissection of virus-human crosstalk mediated by miRNAs based on the VmiReg database.Prioritization of candidate genes for periodontitis using multiple computational tools.miRDDCR: a miRNA-based method to comprehensively infer drug-disease causal relationships.Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet Interaction
P2860
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P2860
A novel method to quantify gene set functional association based on gene ontology.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
A novel method to quantify gene set functional association based on gene ontology.
@ast
A novel method to quantify gene set functional association based on gene ontology.
@en
type
label
A novel method to quantify gene set functional association based on gene ontology.
@ast
A novel method to quantify gene set functional association based on gene ontology.
@en
prefLabel
A novel method to quantify gene set functional association based on gene ontology.
@ast
A novel method to quantify gene set functional association based on gene ontology.
@en
P2093
P2860
P356
P1476
A novel method to quantify gene set functional association based on gene ontology.
@en
P2093
Qianghu Wang
Shangwei Ning
Teng Huang
Weisha Liu
P2860
P304
P356
10.1098/RSIF.2011.0551
P577
2011-10-13T00:00:00Z