Article
Coexpression enables multi-study cellular trajectories of development and disease
2019-07-30
Abstract excerpt
Single-cell transcriptomic studies of diverse and complex systems are becoming ubiquitous. Algorithms now attempt to integrate patterns across these studies by removing all study-specific information, without distinguishing unwanted technical bias from relevant biological variation. Integration remains difficult when capturing biological variation that is distributed across studies, as when combining disparate t...
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Identifiers and source
- Literature Corpus work
- bb6cf40d-f787-5bb7-91a4-c9532144a21f
- DOI
- 10.1101/719088
