Article

Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data

2021-06-16

Abstract excerpt

Sequencing costs currently prohibit the application of single-cell mRNA-seq to many biological and clinical analyses. Targeted single-cell mRNA-sequencing reduces sequencing costs by profiling reduced gene sets that capture biological information with a minimal number of genes. Here, we introduce an active learning method (ActiveSVM) that identifies minimal but highly-informative gene sets that enable the identifi...

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Literature Corpus work: a659a0ff-9e5c-552d-be78-f6de49f6b1f5
DOI: 10.1101/2021.06.15.448478

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