Article
Leveraging gene correlations in single cell transcriptomic data
2023-03-15
Abstract excerpt
<h4>BACKGROUND</h4> Many approaches have been developed to overcome technical noise in single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for rare cell types, subtleties of cell states, and details of gene regulatory networks—there is a growing need for algorithms with controllable accuracy and fewer ad hoc parameters and thresholds. Impeding this goal is the fact that an appropri...
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Identifiers and source
- Literature Corpus work
- 28544509-32e3-5e9b-859b-f1d05a83cf95
- DOI
- 10.1101/2023.03.14.532643
