Article

Unsupervised cell functional annotation for single-cell RNA-Seq

2021-11-21

Abstract excerpt

One of the first steps in the analysis of single cell RNA-Sequencing data (scRNA-Seq) is the assignment of cell types. While a number of supervised methods have been developed for this, in most cases such assignment is performed by first clustering cells in low-dimensional space and then assigning cell types to different clusters. To overcome noise and to improve cell type assignments we developed UNIFAN, a neural...

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Literature Corpus work: 29d4d1af-bdb9-5517-b948-954d69bfafb4
DOI: 10.1101/2021.11.20.469410

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