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A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Genome Research(2021)10.1101/gr.275569.121Source: DataRank Database

A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing is a research paper published in Genome Research (2021). On theSindex it has a DataRank of 0. It has been cited 95 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (18 grants)OA: bronzeTopics (44)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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Authors (10)

Yun Zhang ORCID,Mark Novotny ORCID,Mohamed Keshk,Trygve E. Bakken ORCID,Jeremy A. Miller ORCID

Live enrichment

PubMed:34088715 PMC:PMC8494219 OpenAlex:https://openalex.org/W3165128404

National Institutes of Health

Grant: R21-AI122100

National Institutes of Health

Grant: U19-AI118626

California Institute for Regenerative Medicine

Grant: GC1R-06673-B

Wellcome Trust

Grant: 208379/Z/17/Z

Silicon Valley Community Foundation

Grant: 2018-182730

BRAINSCAPES: A Roadmap from Neurogenetics to Neurobiology

Grant: NWO: 024.004.012

NWO TTW project 3DOMICS

Grant: NWO: 17126

Dutch Research Council (NWO)

Grant: 024.004.012

BRAINSCAPES: A Roadmap from Neurogenetics to Neurobiology

NIAID NIH HHS

Grant: R21 AI122100

NIAID NIH HHS

Grant: U19 AI118626

Dutch Research Council (NWO)

Grant: 17126

Visual analytics for 3DOMICS: from single cell to tissue and back

NIMH NIH HHS

Grant: RF1 MH123220

Wellcome Trust

Grant: 208379

Virtual Fly Brain

National Institutes of Health

Grant: 4U19AI118626-06

Human immune signatures of Dengue virus and Mycobacterium Tuberculosis exposure in infection, disease and vaccination

National Institutes of Health

Grant: 1R21AI122100-01A1

Somatic Mutation in the Etiology of Multiple Sclerosis

National Institutes of Health

Grant: 1RF1MH123220-01

A Community Framework for Data-driven Brain Transcriptomic Cell Type Definition, Ontology, and Nomenclature

Dutch Research Council (NWO)

Chan Zuckerberg Initiative DAF

bronzeLicense: CC BY NC

journalhttps://genome.cshlp.org/content/31/10/1767.full.pdf

publisherhttps://genome.cshlp.org/content/31/10/1767.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.275569.121

journalhttps://doi.org/10.1101/gr.275569.121

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34088715

Fields of Study

Single-cell and spatial transcriptomicsCancer-related molecular mechanisms researchCell Image Analysis Techniques0301 basic medicine0303 health sciences03 medical and health sciencesBiomarkersGene Expression ProfilingMachine LearningSequence Analysis, RNASingle-Cell Analysis

MeSH Terms

Machine LearningBiomarkersSequence Analysis, RNAGene Expression ProfilingSingle-Cell Analysis

Keywords

BiologyCell typeComputational biologyCellGeneGenomicsGene expressionPhenotypeGeneticsRNAGenome570BioinformaticsSequence Analysis, RNA1.1 Normal biological development and functioningGene Expression ProfilingHuman Genome610Method612Biological SciencesMedical and Health SciencesMachine LearningUnderpinning researchSingle-Cell AnalysisSequence AnalysisBiomarkersBiotechnology

Sustainable Development Goals

SDG 0: Life in Land