about
Gene function classification using Bayesian models with hierarchy-based priorsA critical assessment of Mus musculus gene function prediction using integrated genomic evidence.Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway componentsExploring inconsistencies in genome-wide protein function annotations: a machine learning approachDiscriminative local subspaces in gene expression data for effective gene function prediction.Combining heterogeneous data sources for accurate functional annotation of proteins.MS-kNN: protein function prediction by integrating multiple data sourcesMatrix factorization-based data fusion for gene function prediction in baker's yeast and slime mold.Finding function: evaluation methods for functional genomic data.Context-sensitive data integration and prediction of biological networks.Gene function prediction using labeled and unlabeled data.Biomedical ontologies in action: role in knowledge management, data integration and decision support.Building multiclass classifiers for remote homology detection and fold recognition.Mammalian microRNA prediction through a support vector machine model of sequence and structure.High-precision high-coverage functional inference from integrated data sourcesIntegration of relational and hierarchical network information for protein function predictionMulti-label literature classification based on the Gene Ontology graphTowards structured output prediction of enzyme functionTowards a semi-automatic functional annotation tool based on decision-tree techniquesDirecting experimental biology: a case study in mitochondrial biogenesis.Incorporating functional inter-relationships into protein function prediction algorithmsA hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge.XML-based approaches for the integration of heterogeneous bio-molecular dataPredicting gene function using hierarchical multi-label decision tree ensemblesFrom learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification.Bayesian Markov Random Field analysis for protein function prediction based on network dataPredicting gene function using few positive examples and unlabeled onesBayesian approach to transforming public gene expression repositories into disease diagnosis databases.PILGRM: an interactive data-driven discovery platform for expert biologistsGene function prediction based on the Gene Ontology hierarchical structureEnzML: multi-label prediction of enzyme classes using InterPro signatures.Functional knowledge transfer for high-accuracy prediction of under-studied biological processesSemi-supervised multi-label collective classification ensemble for functional genomicsUsing PPI network autocorrelation in hierarchical multi-label classification trees for gene function predictionPredicting gene function using similarity learning.Predicting protein functions using incomplete hierarchical labels.Computational algorithms to predict Gene Ontology annotations.GOTA: GO term annotation of biomedical literature.A Factor Graph Approach to Automated GO AnnotationComputational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer.
P2860
Q21284251-79E4ECA5-3B52-4FFD-B7B7-A16F3977255FQ27499387-95EF4FAD-3525-4B62-8BF2-DBEC6079687DQ28476223-30653F8F-BF8D-4A24-88A2-785F4E835E5AQ29036401-BE0D142A-6B45-45FF-BC8B-08926E7D3489Q30524347-010B4033-BE64-407F-B052-0CC38D3DB193Q30604355-7BC611B0-147A-4A0E-9383-890F4407D049Q30604442-12505F4D-12CF-40DC-A748-42A3E263E31AQ30705921-6BAE6F57-F644-477D-8D78-51697F04EEC3Q30820459-06E0414C-7FDF-439F-BE45-68DCD6246569Q31117193-E91E45F0-0B34-45CB-AF6D-2FBCA07AE4E7Q31144156-1C5DE9CE-6C26-4E04-85EC-1176B9BF2C12Q31165443-4DA02F2C-38E4-487E-A5BB-055DC79B19C0Q33260503-AB69DDE1-AE15-40C7-9DCB-C5CA17EB3528Q33300356-BDD9C347-EA3B-49D6-9F00-4641BCBE2C35Q33321071-0C7C1FD0-5F19-49FF-B4A2-7637F4853BA8Q33362581-0CAE5F46-74DA-4B40-A9F7-9483BDF3FF7EQ33390760-1BD53659-FC92-4083-9387-426B782917E8Q33393989-F5EBEB04-F685-46D2-8E25-D1C9F7F1D927Q33393991-04E99CE7-FFF4-4448-8211-E97A6DDB0493Q33419869-BA2387AD-B082-4B3C-B42C-62B3EFD21270Q33444314-9F36826E-8436-40EE-8A30-FA1116DD1AD6Q33489270-21D20F5A-8FA5-4AFB-AA5B-520AA7ACCEE8Q33510481-4411CBCE-ED1A-49AD-9D72-2ABC3F1CF2CBQ33521571-F5B33D6D-45D8-4681-B528-9AA147961F2DQ33527578-D972F1B8-6020-4C04-B57D-03FB024EAB07Q33535782-6660DA21-0F43-4744-90B1-8BB70A625378Q33737005-72A352C7-8ABC-43F5-A5F9-3B15B2A75AB2Q33859264-8A5B73F9-367F-4F05-8D4C-84475B6E3911Q33926590-08D8BCC2-7C5C-47D3-AB1B-51D85D88E6B9Q34142692-89D0AC77-7A00-4685-842B-5E52B7E5FDCCQ34245713-A801F51C-2252-4955-8EF3-337031FD54B6Q34629093-4179D73B-6F40-4FED-93D7-EEC2DA5153A8Q34912941-7C5B3412-CB1B-4FE5-AD59-4F943CAB518AQ35000170-BE6E6516-DF31-499E-9DF3-93A7361C0557Q35050912-134004AB-6CE7-438F-87F5-CC117838FA80Q35543419-9282C06E-B0FF-4365-B097-960A21D05032Q35615905-5ABECC5B-1946-4EB8-A750-000B46E74FA4Q35825056-11797965-BE14-47EC-AF02-1546FCB5CD64Q35895121-E0E687AB-09F8-4185-9975-FDDB00444F41Q35989733-7930A3DA-4AD3-4F3B-8ED3-1E047C8A5BC9
P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Hierarchical multi-label prediction of gene function.
@en
type
label
Hierarchical multi-label prediction of gene function.
@en
prefLabel
Hierarchical multi-label prediction of gene function.
@en
P2860
P356
P1433
P1476
Hierarchical multi-label prediction of gene function.
@en
P2093
Robert E Schapire
Zafer Barutcuoglu
P2860
P304
P356
10.1093/BIOINFORMATICS/BTK048
P407
P577
2006-01-12T00:00:00Z