Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.
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A large-scale evaluation of computational protein function predictionPrediction and validation of gene-disease associations using methods inspired by social network analysesSolute Carrier Family 26 Member a2 (slc26a2) Regulates Otic Development and Hair Cell Survival in Zebrafish.Novel cardiovascular gene functions revealed via systematic phenotype prediction in zebrafishPredicting gene function using hierarchical multi-label decision tree ensemblesGenomics Portals: integrative web-platform for mining genomics data.A genome-wide gene function prediction resource for Drosophila melanogaster.Representing ontogeny through ontology: a developmental biologist's guide to the gene ontologyRIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network.A protein network-guided screen for cell cycle regulators in Drosophila.FuncBase: a resource for quantitative gene function annotation.Predicting genetic modifier loci using functional gene networksRemoving bias against membrane proteins in interaction networks.Prediction of disease genes using tissue-specified gene-gene networkFunctional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns.Using computational predictions to improve literature-based Gene Ontology annotations: a feasibility study.Predicting gene function using similarity learning.A Resource of Quantitative Functional Annotation for Homo sapiens GenesSelecting causal genes from genome-wide association studies via functionally coherent subnetworks.CvManGO, a method for leveraging computational predictions to improve literature-based Gene Ontology annotations.An en masse phenotype and function prediction system for Mus musculusIdentification of mitochondrial disease genes through integrative analysis of multiple datasets.It's the machine that matters: Predicting gene function and phenotype from protein networks.Extensive complementarity between gene function prediction methods.Hierarchical ensemble methods for protein function prediction.Hierarchical classification of gene ontology terms using the GOstruct method.The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.A race through the maze of genomic evidence.Transcriptional-metabolic networks in beta-carotene-enriched potato tubers: the long and winding road to the Golden phenotype.My data are your data.Gene co-opening network deciphers gene functional relationships.Systematic identification of gene annotation errors in the widely used yeast mutation collections.The evolutionary signal in metagenome phyletic profiles predicts many gene functions
P2860
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P2860
Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Combining guilt-by-association ...... yces cerevisiae gene function.
@en
type
label
Combining guilt-by-association ...... yces cerevisiae gene function.
@en
prefLabel
Combining guilt-by-association ...... yces cerevisiae gene function.
@en
P2093
P2860
P356
P1433
P1476
Combining guilt-by-association ...... yces cerevisiae gene function.
@en
P2093
Francis D Gibbons
J Michael Cherry
Julie Park
Lan V Zhang
Murat Taşan
Oliver D King
Weidong Tian
P2860
P2888
P356
10.1186/GB-2008-9-S1-S7
P478
P577
2008-06-27T00:00:00Z
P5875
P6179
1034329997