Revealing and avoiding bias in semantic similarity scores for protein pairs.
about
M-Finder: Uncovering functionally associated proteins from interactome data integrated with GO annotations.Microbial Community Responses to Increased Water and Organic Matter in the Arid Soils of the McMurdo Dry Valleys, Antarctica.RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysisAn integrative approach to inferring biologically meaningful gene modules.Exact score distribution computation for ontological similarity searches.Semantic similarity analysis of protein data: assessment with biological features and issues.Markov Chain Ontology Analysis (MCOA).PhenUMA: a tool for integrating the biomedical relationships among genes and diseases.Novel search method for the discovery of functional relationships.TopoICSim: a new semantic similarity measure based on gene ontology.Exploring Approaches for Detecting Protein Functional Similarity within an Orthology-based Framework.Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery.Distance-wise pathway discovery from protein-protein interaction networks weighted by semantic similarity.Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.Measuring gene functional similarity based on group-wise comparison of GO terms.Protein complex discovery by interaction filtering from protein interaction networks using mutual rank coexpression and sequence similarity.CommWalker: Correctly Evaluating Modules in Molecular Networks in Light of Annotation Bias.
P2860
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P2860
Revealing and avoiding bias in semantic similarity scores for protein pairs.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@ast
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@en
type
label
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@ast
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@en
prefLabel
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@ast
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@en
P2093
P2860
P356
P1433
P1476
Revealing and avoiding bias in semantic similarity scores for protein pairs.
@en
P2093
Chenggui Zhou
Xianxiao Zhou
P2860
P2888
P356
10.1186/1471-2105-11-290
P577
2010-05-28T00:00:00Z
P5875
P6179
1046300387