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NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing

2020-09-24

Abstract excerpt

Single cell genomics is rapidly advancing our knowledge of cell phenotypic types and states. Driven by single cell/nucleus RNA sequencing (scRNA-seq) data, comprehensive atlas projects covering a wide range of organisms and tissues are currently underway. As a result, it is critical that the cell transcriptional phenotypes discovered are defined and disseminated in a consistent and concise manner. Molecular biomar...

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Literature Corpus work
e5a2c949-ac94-5c3c-a87d-26ee200fbdef
DOI
10.1101/2020.09.23.308932
Open publication

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NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencingDOI 10.1101/2020.09.23.308932
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