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BulkLMM: Real-time genome scans for multiple quantitative traits using linear mixed models

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.20.572698Source: DataRank Database

BulkLMM: Real-time genome scans for multiple quantitative traits using linear mixed models is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)

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Authors (5)

Gregory Farage ORCID,Robert W. Williams ORCID,Karl W. Broman ORCID,Śaunak Sen ORCID,Zifan Yu ORCID

Live enrichment

PubMed:38187625 OpenAlex:https://openalex.org/W4390081392

National Institutes of Health

Grant: 5P30DA044223-03

Overall NIDA Core "Center of Excellence" in Transcriptomics, Systems Genetics and the Addictome

National Institutes of Health

Grant: 1R01GM123489-01A1

A Unified High Performance Web Service for Systems Genetics and Precision Medicine

National Institutes of Health

Grant: 5R01GM070683-14

Systems Genetic Analysis of Multi-parent Crosses

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/12/21/2023.12.20.572698.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.12.20.572698

repositoryhttp://dx.doi.org/10.1101/2023.12.20.572698

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38187625

Fields of Study

Genetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestockGenetics and Plant Breeding0206 medical engineering02 engineering and technology

Keywords

Computational biologyComputer scienceLinear modelGeneralized linear mixed modelGenomeBiologyGeneticsMachine learningGeneArticle