Deep soft K-means clustering with self-training for single-cell RNA sequence data
Author:
Affiliation:
1. School of Mathematical Sciences, Peking University, Beijing 100871, China
2. Mathematical and Statistical Institute, Northeast Normal University, Changchun 130024, China
3. Center for Quantitative Biology, Peking University, Beijing 100871, China
Abstract
Funder
National Key Research and Development Program of China
National Key Basic Research Project of China
National Natural Science Foundation of China
Publisher
Oxford University Press (OUP)
Subject
General Medicine
Link
http://academic.oup.com/nargab/article-pdf/2/2/lqaa039/34054328/lqaa039.pdf
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4. The technology and biology of single-cell RNA sequencing;Kolodziejczyk;Mol. Cell,2015
5. Advances and applications of single-cell sequencing technologies;Wang;Mol. Cell,2015
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