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Fast and accurate single-cell RNA-Seq analysis by clustering of transcript-compatibility counts
Vasilis Ntranos, Govinda M. Kamath, Jesse Zhang, Lior Pachter, David N. Tse
doi: https://doi.org/10.1101/036863
Vasilis Ntranos
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley,.
Govinda M. Kamath
2Department of Electrical Engineering, Stanford University,.
Jesse Zhang
2Department of Electrical Engineering, Stanford University,.
Lior Pachter
3Departments of Mathematics and Molecular and Cell Biology, University of California, Berkeley,.
David N. Tse
2Department of Electrical Engineering, Stanford University,.
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley,.
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Posted January 15, 2016.
Fast and accurate single-cell RNA-Seq analysis by clustering of transcript-compatibility counts
Vasilis Ntranos, Govinda M. Kamath, Jesse Zhang, Lior Pachter, David N. Tse
bioRxiv 036863; doi: https://doi.org/10.1101/036863
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