A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. - Test2 - elhamkhani - TriplyDB

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

http://www.wikidata.org/entity/Q27499387

about

Analysis of VEGF--a regulated gene expression in endothelial cells to identify genes linked to angiogenesis Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data Systematic planning of genome-scale experiments in poorly studied species GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function Genes Caught In Flagranti: Integrating Renal Transcriptional Profiles With Genotypes and Phenotypes Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)Computationally driven, quantitative experiments discover genes required for mitochondrial biogenesis Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists Prediction of Genetic Interactions Using Machine Learning and Network Properties Serial interactome capture of the human cell nucleus Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties The planar cell polarity effector Fuz is essential for targeted membrane trafficking, ciliogenesis and mouse embryonic development Developing informative microsatellite makers for non-model species using reference mapping against a model species' genome Integrative computational biology for cancer research The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function Integrative approaches to the prediction of protein functions based on the feature selection.Novel cardiovascular gene functions revealed via systematic phenotype prediction in zebrafish An integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thaliana Protein function prediction by massive integration of evolutionary analyses and multiple data sources.Combining heterogeneous data sources for accurate functional annotation of proteins.Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.GOParGenPy: a high throughput method to generate gene ontology data matrices.Matrix factorization-based data fusion for gene function prediction in baker's yeast and slime mold.Inferring gene ontologies from pairwise similarity data.Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation.MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse Implications of Big Data for cell biology.Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy A genomewide functional network for the laboratory mouse.An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions Web-queryable large-scale data sets for hypothesis generation in plant biology.A computational screen for regulators of oxidative phosphorylation implicates SLIRP in mitochondrial RNA homeostasis.Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function Predicting gene function using hierarchical multi-label decision tree ensembles Genomics Portals: integrative web-platform for mining genomics data.Bayesian Markov Random Field analysis for protein function prediction based on network data Utility of sequenced genomes for microsatellite marker development in non-model organisms: a case study of functionally important genes in nine-spined sticklebacks (Pungitius pungitius).Fast integration of heterogeneous data sources for predicting gene function with limited annotation A quick guide to large-scale genomic data mining.Combined GWAS and 'guilt by association'-based prioritization analysis identifies functional candidate genes for body size in sheep.

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P2860

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

http://www.wikidata.org/entity/Q27499387

description

2008 nî lūn-bûn

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2008 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2008 թվականի հունիսին հրատարակված գիտական հոդված

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2008年の論文

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2008年論文

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2008年論文

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2008年論文

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2008年論文

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2008年论文

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A critical assessment of Mus m ...... ng integrated genomic evidence

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A critical assessment of Mus m ...... g integrated genomic evidence.

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A critical assessment of Mus m ...... g integrated genomic evidence.

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A critical assessment of Mus m ...... ng integrated genomic evidence

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A critical assessment of Mus m ...... g integrated genomic evidence.

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A critical assessment of Mus m ...... g integrated genomic evidence.

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A critical assessment of Mus m ...... ng integrated genomic evidence

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A critical assessment of Mus m ...... g integrated genomic evidence.

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A Mouse for All Reasons

Gene ontology: tool for the unification of biology

Inparanoid: a comprehensive database of eukaryotic orthologs

Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

A gene atlas of the mouse and human protein-encoding transcriptomes

Database resources of the National Center for Biotechnology Information

The functional landscape of mouse gene expression

InterPro, progress and status in 2005

Pfam: clans, web tools and services

Discovery of biological networks from diverse functional genomic data.

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9 Suppl 1

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Michael I. Jordan

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