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A powerful framework for differential co-expression analysis of general risk factors

Bioinformatics(2025)10.1093/bioinformatics/btaf565Source: DataRank Database

A powerful framework for differential co-expression analysis of general risk factors is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (4 grants)OA: goldTopics (33)IDs (PubMed)

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Authors (3)

David J. Cutler,Michael P. Epstein ORCID,Andrew J. Bass ORCID

Live enrichment

PubMed:41071643

National Institutes of Health

Grant: R01 AG071170

National Institutes of Health

Grant: R01 MH126449

National Institutes of Health

Grant: 1RF1AG071170-01

Quantitative Genetic Models for Exploring Missing Heritability of Alzheimer's Disease

NIA NIH HHS

Grant: RF1 AG071170

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf565/64613639/btaf565.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/11/btaf565/64613639/btaf565.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12619644

https://doi.org/10.1093/bioinformatics/btaf565

https://doi.org/10.1101/2024.11.29.626006

Fields of Study

Computer ScienceMedicine0206 medical engineering02 engineering and technologyHumansThyroid NeoplasmsComputational BiologyDiseaseGene ExpressionGene Regulatory NetworksProto-Oncogene Proteins B-rafMutationGenetic Risk Score

MeSH Terms

HumansThyroid NeoplasmsComputational BiologyDiseaseGene ExpressionGene Regulatory NetworksProto-Oncogene Proteins B-rafMutationGenetic Risk Score

Keywords

Proto-Oncogene Proteins B-rafOriginal PaperMutationHumansComputational BiologyGene ExpressionDiseaseGene Regulatory NetworksThyroid NeoplasmsArticleGenetic Risk Score