Pitfalls in the application of gene-set analysis to genetics studies. - Test2 - elhamkhani - TriplyDB

Pitfalls in the application of gene-set analysis to genetics studies.

Pitfalls in the application of gene-set analysis to genetics studies.

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Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection.Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype.Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.An application of MeSH enrichment analysis in livestock Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.Gene set analysis: A step-by-step guide Advances in the genetics of schizophrenia: toward a network and pathway view for drug discovery.‘Pitfalls in the application of gene set analysis to genetics studies’: a response.GiANT: gene set uncertainty in enrichment analysis.Monitoring changes in the Gene Ontology and their impact on genomic data analysis

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Pitfalls in the application of gene-set analysis to genetics studies.

http://www.wikidata.org/entity/Q42371582

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2014 nî lūn-bûn

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Pitfalls in the application of gene-set analysis to genetics studies.

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Pitfalls in the application of gene-set analysis to genetics studies.

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Pitfalls in the application of gene-set analysis to genetics studies.

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Pitfalls in the application of gene-set analysis to genetics studies.

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Pitfalls in the application of gene-set analysis to genetics studies.

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Pitfalls in the application of gene-set analysis to genetics studies.

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J.TIG.2014.10.001

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Trends in Genetics

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Pitfalls in the application of gene-set analysis to genetics studies.

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Adriana Estela Sedeño-Cortés

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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Functional and genomic context in pathway analysis of GWAS data.

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

A methodology for the analysis of differential coexpression across the human lifespan.

The impact of focused Gene Ontology curation of specific mammalian systems

Converging genetic and functional brain imaging evidence links neuronal excitability to working memory, psychiatric disease, and brain activity.

A task-based approach for Gene Ontology evaluation.

Pathway analysis of seven common diseases assessed by genome-wide association.

Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt.

Impact of ontology evolution on functional analyses.

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513-514

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scholarly article

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12

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