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Connection

Matthew Stephens to Single-Cell Analysis

This is a "connection" page, showing publications Matthew Stephens has written about Single-Cell Analysis.
Connection Strength

1.753
  1. GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. Genome Biol. 2023 10 19; 24(1):236.
    View in: PubMed
    Score: 0.839
  2. Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis. Nat Genet. 2021 06; 53(6):770-777.
    View in: PubMed
    Score: 0.710
  3. Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis. Genome Res. 2020 04; 30(4):611-621.
    View in: PubMed
    Score: 0.165
  4. Discovery and characterization of variance QTLs in human induced pluripotent stem cells. PLoS Genet. 2019 04; 15(4):e1008045.
    View in: PubMed
    Score: 0.038
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.