reference/30526132

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30526132

Outgoing Links

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bibliographicCitation	Aevermann B, Zhang Y, Novotny M, Keshk M, Bakken T, Miller J, Hodge R, Lelieveldt B, Lein E, Scheuermann RH. A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing. Genome Res. 2021 Oct;31(10):1767–80. PMID: 34088715; PMCID: PMC8494219.
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date	2021-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1101/gr.275569.121 https://pubmed.ncbi.nlm.nih.gov/PMC8494219 https://pubmed.ncbi.nlm.nih.gov/34088715
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing
discusses	http://id.nlm.nih.gov/mesh/M0023752
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Total number of triples: 51.