GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies. - Wikidata - wikimedia - TriplyDB

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

http://www.wikidata.org/entity/Q33375904

about

Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information Application of computational methods in genetic study of inflammatory bowel disease Two-phase and family-based designs for next-generation sequencing studies A review of multivariate analyses in imaging genetics Systems analysis of high-throughput data Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer Large scale analysis of phenotype-pathway relationships based on GWAS results Identification of pathways for bipolar disorder: a meta-analysis Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease Population differences in transcript-regulator expression quantitative trait loci DistiLD Database: diseases and traits in linkage disequilibrium blocks Identification of predictive pathways for non-hodgkin lymphoma prognosis A predictive framework for integrating disparate genomic data types using sample-specific gene set enrichment analysis and multi-task learning Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer.Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data.Pathway-based analysis using genome-wide association data from a Korean non-small cell lung cancer study Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack.Functional and genomic context in pathway analysis of GWAS data.Genome-wide scan for signatures of human population differentiation and their relationship with natural selection, functional pathways and diseases Inferring pathway dysregulation in cancers from multiple types of omic data.A powerful and efficient set test for genetic markers that handles confounders Ranking metrics in gene set enrichment analysis: do they matter?Supervised categorical principal component analysis for genome-wide association analyses.Proceedings of the 2010 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) conference.Improving the detection of pathways in genome-wide association studies by combined effects of SNPs from Linkage Disequilibrium blocks.Exome localization of complex disease association signals.Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis.RS-SNP: a random-set method for genome-wide association studies Meta-analysis of heterogeneous data sources for genome-scale identification of risk genes in complex phenotypes.Gene set analysis of SNP data: benefits, challenges, and future directions SNP-based pathway enrichment analysis for genome-wide association studies Gene--environment-wide association studies: emerging approaches Pathways of distinction analysis: a new technique for multi-SNP analysis of GWAS data.From SNPs to genes: disease association at the gene level GSA-SNP: a general approach for gene set analysis of polymorphisms i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study The associations between immunity-related genes and breast cancer prognosis in Korean women.Gene-based tests of association Common single nucleotide polymorphisms in immunoregulatory genes and multiple myeloma risk among women in Connecticut.SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci.

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GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

http://www.wikidata.org/entity/Q33375904

description

2008 nî lūn-bûn

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2008 թվականի հոտեմբերին 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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Bettina Kulle

http://www.w3.org/2001/XMLSchema#string

Leszek Wojnowski

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Marit Holden

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Shiwei Deng

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P2860

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Pathways to the analysis of microarray data

The future of genetic studies of complex human diseases

Genome-wide association studies for common diseases and complex traits

Genome-wide association studies: theoretical and practical concerns.

Pathway-based approaches for analysis of genomewide association studies.

Trend tests for case-control studies of genetic markers: power, sample size and robustness.

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2784-2785

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10.1093/BIOINFORMATICS/BTN516

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18854360

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genome-wide association study