Finding function: evaluation methods for functional genomic data. - Test2 - elhamkhani - TriplyDB

Finding function: evaluation methods for functional genomic data.

Finding function: evaluation methods for functional genomic data.

http://www.wikidata.org/entity/Q30820459

about

Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality Getting started in probabilistic graphical models Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data Systematic planning of genome-scale experiments in poorly studied species A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.Prediction of Genetic Interactions Using Machine Learning and Network Properties Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS Bringing order to protein disorder through comparative genomics and genetic interactions.An integrative characterization of recurrent molecular aberrations in glioblastoma genomes.Chapter 2: Data-driven view of disease biology Prosecutor: parameter-free inference of gene function for prokaryotes using DNA microarray data, genomic context and multiple gene annotation sources.Context-sensitive data integration and prediction of biological networks.Nearest Neighbor Networks: clustering expression data based on gene neighborhoods.Microarray data mining: a novel optimization-based approach to uncover biologically coherent structures Assessing the functional structure of genomic data.Probabilistic prediction and ranking of human protein-protein interactions.An improved, bias-reduced probabilistic functional gene network of baker's yeast, Saccharomyces cerevisiae.Rank-based edge reconstruction for scale-free genetic regulatory networks Linking functionally related genes by sensitive and quantitative characterization of genetic interaction profiles.A genomewide functional network for the laboratory mouse.Rapid annotation of anonymous sequences from genome projects using semantic similarities and a weighting scheme in gene ontology.Directing experimental biology: a case study in mitochondrial biogenesis.Incorporating functional inter-relationships into protein function prediction algorithms Detection of mammalian virulence determinants in highly pathogenic avian influenza H5N1 viruses: multivariate analysis of published data.RRW: repeated random walks on genome-scale protein networks for local cluster discovery Detailing regulatory networks through large scale data integration Measuring similarity between gene expression profiles: a Bayesian approach.Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action.Integrating physical and genetic maps: from genomes to interaction networks.A genome-wide gene function prediction resource for Drosophila melanogaster.An integrative multi-network and multi-classifier approach to predict genetic interactions Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes Integrative systems biology for data-driven knowledge discovery.Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection.Accurate quantification of functional analogy among close homologs.The impact of multifunctional genes on "guilt by association" analysis Protein complexes are central in the yeast genetic landscape.

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P2860

Finding function: evaluation methods for functional genomic data.

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Finding function: evaluation methods for functional genomic data.

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Daniel R Barrett

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Gene ontology: tool for the unification of biology

Functional organization of the yeast proteome by systematic analysis of protein complexes

KEGG: kyoto encyclopedia of genes and genomes

YPD, PombePD and WormPD: model organism volumes of the BioKnowledge library, an integrated resource for protein information

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

The GRID: the General Repository for Interaction Datasets

The Biomolecular Interaction Network Database and related tools 2005 update

Information assessment on predicting protein-protein interactions

Filtering high-throughput protein-protein interaction data using a combination of genomic features

Global analysis of protein localization in budding yeast.

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