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Updated: Jan 30, 2026

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
Published on: May 16, 2020
A discriminative learning approach to differential expression analysis for single-cell RNA-seq
Vasilis Ntranos1,2, Lynn Yi3,4, Páll Melsted5
1Department of Electrical Engineering & Computer Science, UC Berkeley, Berkeley, CA, USA.
Abstract:
Single-cell RNA-seq makes it possible to characterize the transcriptomes of cell types across different conditions and to identify their transcriptional signatures via differential analysis. Our method detects changes in transcript dynamics and in overall gene abundance in large numbers of cells to determine differential expression. When applied to transcript compatibility counts obtained via pseudoalignment, our approach provides a quantification-free analysis of 3' single-cell RNA-seq that can identify previously undetectable marker genes.
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