New Results
Characterizing tissue composition through combined analysis of single-cell morphologies and transcriptional states
Feng Bao, Yue Deng, Sen Wan, Bo Wang, Qionghai Dai, Steven J. Altschuler, Lani F. Wu
doi: https://doi.org/10.1101/2020.09.05.284539
Feng Bao
1Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
Yue Deng
2Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China
Sen Wan
3Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
Bo Wang
2Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China
Qionghai Dai
3Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
Steven J. Altschuler
1Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
Lani F. Wu
1Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA

- Supplementary Materials[supplements/284539_file03.pdf]
Posted September 05, 2020.
Characterizing tissue composition through combined analysis of single-cell morphologies and transcriptional states
Feng Bao, Yue Deng, Sen Wan, Bo Wang, Qionghai Dai, Steven J. Altschuler, Lani F. Wu
bioRxiv 2020.09.05.284539; doi: https://doi.org/10.1101/2020.09.05.284539
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