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Biomarker‐guided heterogeneity analysis of genetic regulations via multivariate sparse fusion

Statistics in Medicine(2021)10.1002/sim.9006Source: DataRank Database

Biomarker‐guided heterogeneity analysis of genetic regulations via multivariate sparse fusion is a research paper published in Statistics in Medicine (2021). On theSindex it has a DataRank of 0.

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Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion · arXiv

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Enrichment:Funding (5 grants)OA: greenTopics (27)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC)SDGs (1)

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Authors (6)

Xiaonan Hu ORCID,Ziye Luo ORCID,Yu Jiang ORCID,Yifan Sun ORCID,Shuangge Ma ORCID

Live enrichment

PubMed:33906263 PMC:PMC8277716

National Bureau of Statistics of China

Grant: 2019LZ11

National Institutes of Health

Grant: CA216017, CA241699

National Science Foundation

Grant: 1916251

Collaborative Research: Integrating Multi-Dimensional Omics Data for Quantifying Disease Heterogeneity

NCI NIH HHS

Grant: R03 CA216017

NCI NIH HHS

Grant: R03 CA241699

greenLicense: Wiley Online Library User Agreement

repositoryhttps://arxiv.org/pdf/2211.16681

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9006

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.9006

publisherhttps://onlinelibrary.wiley.com/doi/am-pdf/10.1002/sim.9006

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8277716

Fields of Study

0301 basic medicine03 medical and health sciences

MeSH Terms

HumansMelanomaGene ExpressionGene Expression RegulationAlgorithmsDNA Copy Number Variations

Keywords

BiomarkerGenetic RegulationsHeterogeneity AnalysisMultivariate Sparse FusionGenomics (q-bio.GN)FOS: Computer and information sciencesDNA Copy Number VariationsGene ExpressionStatistics - ApplicationsApplications of statistics to biology and medical sciences; meta analysisMethodology (stat.ME)Gene Expression RegulationFOS: Biological sciencesHumansQuantitative Biology - GenomicsApplications (stat.AP)MelanomaStatistics - MethodologyAlgorithms

Sustainable Development Goals

SDG 3: 3. Good health

Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion

10.48550/arxiv.2211.16681arXiv