A graph-theoretic approach to testing associations between disparate sources of functional genomics data.
about
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networksThe Human Red Blood Cell Proteome and InteractomeToxicogenomic profiling of chemically exposed humans in risk assessmentImproved scoring of functional groups from gene expression data by decorrelating GO graph structure.A graph theoretical approach to data fusionGraphs in molecular biologyKnowledge based identification of essential signaling from genome-scale siRNA experiments.The mouse genome displays highly dynamic populations of KRAB-zinc finger protein genes and related genetic unitsNovel metrics for evaluating the functional coherence of protein groups via protein semantic network.Ontological Discovery Environment: a system for integrating gene-phenotype associations.Proteomics of blood and derived products: what's next?Bayesian correlated clustering to integrate multiple datasets.FunGeneNet: a web tool to estimate enrichment of functional interactions in experimental gene sets.Biological Data Integration Using Network Models
P2860
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P2860
A graph-theoretic approach to testing associations between disparate sources of functional genomics data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
A graph-theoretic approach to ...... s of functional genomics data.
@ast
A graph-theoretic approach to ...... s of functional genomics data.
@en
type
label
A graph-theoretic approach to ...... s of functional genomics data.
@ast
A graph-theoretic approach to ...... s of functional genomics data.
@en
prefLabel
A graph-theoretic approach to ...... s of functional genomics data.
@ast
A graph-theoretic approach to ...... s of functional genomics data.
@en
P2093
P356
P1433
P1476
A graph-theoretic approach to ...... s of functional genomics data.
@en
P2093
Denise Scholtens
Raji Balasubramanian
Thomas LaFramboise
P304
P356
10.1093/BIOINFORMATICS/BTH405
P407
P577
2004-07-15T00:00:00Z