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Connection

Matthew Stephens to Sequence Analysis, RNA

This is a "connection" page, showing publications Matthew Stephens has written about Sequence Analysis, RNA.
Connection Strength

1.568
  1. 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: 0.706
  2. 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: 0.209
  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: 0.164
  4. Visualizing the structure of RNA-seq expression data using grade of membership models. PLoS Genet. 2017 Mar; 13(3):e1006599.
    View in: PubMed
    Score: 0.132
  5. Epigenetic modifications are associated with inter-species gene expression variation in primates. Genome Biol. 2014; 15(12):547.
    View in: PubMed
    Score: 0.106
  6. Comparative RNA sequencing reveals substantial genetic variation in endangered primates. Genome Res. 2012 Apr; 22(4):602-10.
    View in: PubMed
    Score: 0.092
  7. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Res. 2008 Sep; 18(9):1509-17.
    View in: PubMed
    Score: 0.072
  8. 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
  9. The genetic architecture of gene expression levels in wild baboons. Elife. 2015 Feb 25; 4.
    View in: PubMed
    Score: 0.029
  10. Understanding mechanisms underlying human gene expression variation with RNA sequencing. Nature. 2010 Apr 01; 464(7289):768-72.
    View in: PubMed
    Score: 0.020
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.