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A robust and fast two-sample test of equal correlations with an application to differential co-expression

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.23.477409Source: DataRank Database

A robust and fast two-sample test of equal correlations with an application to differential co-expression is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (24)IDs (PubMed, OpenAlex)

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Authors (4)

Ian Philipp,Stephanie Webster ORCID,Alexander M. Kulminski ORCID,Liang He ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4207079845

National Institutes of Health

Grant: 5R01AG065477-05

Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseases

National Institutes of Health

Grant: 5R01AG070488-05

Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic context

National Institutes of Health

Grant: 5R01AG061853-05

ApoE2 and protective molecular signatures in Alzheimer's disease and aging

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/01/24/2022.01.23.477409.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.01.23.477409

repositoryhttps://doi.org/10.1101/2022.01.23.477409

repositoryhttps://portal.findresearcher.sdu.dk/da/publications/ccf80766-7814-479e-a9f8-b94ee8a062fe

Fields of Study

Gene expression and cancer classificationBioinformatics and Genomic NetworksGenetic Mapping and Diversity in Plants and Animals0301 basic medicine03 medical and health sciences0101 mathematics01 natural sciences

Keywords

Robustness (evolution)ResidualMathematicsCorrelationStatisticPermutation (music)Sample size determinationStatisticsResamplingType I and type II errorsTest statisticMultivariate statisticsCorrelation coefficientNominal levelAlgorithmStatistical hypothesis testingConfidence interval