Article

CaSee: A lightning transfer-learning model directly used to discriminate cancer/normal cells from scRNA-seq

2022-02-11

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) is one of the most efficient technologies for human tumor research. However, data analysis is still faced with some technical challenges, especially the difficulty in efficiently and accurately discriminate cancer/normal cells in the scRNA-seq expression matrix. In this study, we developed a cancer/normal cell discrimination pipeline called pan-cancer seeker (CaSee) devoted t...

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Literature Corpus work: d2f5a938-1207-5dc8-a9df-e644d35a3726
DOI: 10.1101/2022.02.10.480003

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