about
GeneMANIA: a real-time multiple association network integration algorithm for predicting gene functionPOCUS: mining genomic sequence annotation to predict disease genesPredicting co-complexed protein pairs using genomic and proteomic data integrationProtein molecular function prediction by Bayesian phylogenomics.Gene annotation and network inference by phylogenetic profiling.The Gene Ontology (GO) project in 2006Detection of gene annotations and protein-protein interaction associated disorders through transitive relationships between integrated annotationsWhat we can learn about Escherichia coli through application of Gene OntologyEvaluating diabetes and hypertension disease causality using mouse phenotypesThe Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene OntologyQuantification of protein group coherence and pathway assignment using functional association.Ontologies for biologists: a community model for the annotation of genomic data.Ontological analysis of gene expression data: current tools, limitations, and open problems.Local function conservation in sequence and structure spaceChemical substructures that enrich for biological activityAssessment of protein set coherence using functional annotations.Variable locus length in the human genome leads to ascertainment bias in functional inference for non-coding elements.PhenoGO: an integrated resource for the multiscale mining of clinical and biological data.Rapid annotation of anonymous sequences from genome projects using semantic similarities and a weighting scheme in gene ontology.Incorporating functional inter-relationships into protein function prediction algorithmsProtease-Inhibitor Interaction Predictions: Lessons on the Complexity of Protein-Protein InteractionsInformation theory applied to the sparse gene ontology annotation network to predict novel gene functionPredicting gene ontology annotations of orphan GWAS genes using protein-protein interactionsThe molecular basis of invasiveness: differences in gene expression of native and introduced common ragweed (Ambrosia artemisiifolia) in stressful and benign environments.Genome-wide gene expression profiling of stress response in a spinal cord clip compression injury modelNegative example selection for protein function prediction: the NoGO database.Computational algorithms to predict Gene Ontology annotations.Representing virus-host interactions and other multi-organism processes in the Gene Ontology.Predicting protein function via downward random walks on a gene ontologyFinding New Order in Biological Functions from the Network Structure of Gene Annotations.Computational characterization of proteins.Interspecies gene function prediction using semantic similarity.Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.The zebrafish: scalable in vivo modeling for systems biology.Predicting novel human gene ontology annotations using semantic analysis.A semantic analysis of the annotations of the human genome.AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs.WormExp: a web-based application for a Caenorhabditis elegans-specific gene expression enrichment analysis.Methods for Determining the Statistical Significance of Enrichment or Depletion of Gene Ontology Classifications under Weighted Membership.Implications of functional similarity for gene regulatory interactions.
P2860
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P2860
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
2003年论文
@zh
2003年论文
@zh-cn
name
Predicting gene function from patterns of annotation.
@en
type
label
Predicting gene function from patterns of annotation.
@en
prefLabel
Predicting gene function from patterns of annotation.
@en
P2093
P2860
P356
P1433
P1476
Predicting gene function from patterns of annotation.
@en
P2093
James V White
Oliver D King
Selina S Dwight
P2860
P304
P356
10.1101/GR.440803
P577
2003-04-14T00:00:00Z