Gene function prediction using labeled and unlabeled data

scientific article

Gene function prediction using labeled and unlabeled data is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/ZhaoWCA08
P356DOI10.1186/1471-2105-9-57
P932PMC publication ID2275242
P698PubMed publication ID18221567
P5875ResearchGate publication ID5629394

P50authorKazuyuki AiharaQ11412406
P2093author name stringLuonan Chen
Yong Wang
Xing-Ming Zhao
P2860cites workGenomic expression responses to DNA-damaging agents and the regulatory role of the yeast ATR homolog Mec1pQ33948213
Predicting protein functions from redundancies in large-scale protein interaction networksQ36689451
Genome-wide analysis of gene expression regulated by the calcineurin/Crz1p signaling pathway in Saccharomyces cerevisiaeQ38288284
Hierarchical multi-label prediction of gene functionQ38519155
Exploiting indirect neighbours and topological weight to predict protein function from protein-protein interactionsQ42683787
PSoL: a positive sample only learning algorithm for finding non-coding RNA genes.Q45965802
Global protein function prediction from protein-protein interaction networksQ47921995
Protein function prediction with the shortest path in functional linkage graph and boosting.Q51863276
Protein domain annotation with integration of heterogeneous information sourcesQ80538483
Gene ontology: tool for the unification of biologyQ23781406
Functional organization of the yeast proteome by systematic analysis of protein complexesQ24292209
BioGRID: a general repository for interaction datasetsQ24538650
A computational approach to identify genes for functional RNAs in genomic sequencesQ24555117
Cluster analysis and display of genome-wide expression patternsQ24644463
Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridizationQ24657378
The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomesQ24701143
Functional classification of proteins for the prediction of cellular function from a protein-protein interaction networkQ24806896
Genomic expression programs in the response of yeast cells to environmental changesQ27860823
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometryQ27861116
New components of a system for phosphate accumulation and polyphosphate metabolism in Saccharomyces cerevisiae revealed by genomic expression analysisQ27937759
The two-hybrid system: a method to identify and clone genes for proteins that interact with a protein of interestQ28131694
Missing value estimation methods for DNA microarraysQ28200763
Estimating the support of a high-dimensional distributionQ28204995
MIPS: a database for genomes and protein sequencesQ29614501
A network of protein-protein interactions in yeastQ30004209
Assessment of prediction accuracy of protein function from protein--protein interaction dataQ30644168
Transitive functional annotation by shortest-path analysis of gene expression dataQ30716814
Mapping Gene Ontology to proteins based on protein-protein interaction dataQ30891368
Kernel-based data fusion and its application to protein function prediction in yeast.Q30909344
Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiaeQ30977956
Protein classification with imbalanced dataQ31139777
Functional clustering of yeast proteins from the protein-protein interaction networkQ33251561
P304page(s)57
P577publication date2008-01-28
P1433published inBMC BioinformaticsQ4835939
P1476titleGene function prediction using labeled and unlabeled data
P478volume9

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Q33722170A network approach to predict pathogenic genes for Fusarium graminearum
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Q38632433Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree
Q38445872NegGOA: negative GO annotations selection using ontology structure
Q35186620Negative example selection for protein function prediction: the NoGO database
Q34361112ParsEval: parallel comparison and analysis of gene structure annotations.
Q36680727Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer.
Q36294395Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.
Q35050912Predicting gene function using similarity learning
Q45945654Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks.
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