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Connection

Sebastian Pott to Sequence Analysis, RNA

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This is a "connection" page, showing publications Sebastian Pott has written about Sequence Analysis, RNA.
Sebastian Pott
Connection Strength
0.093
Sequence Analysis, RNA
  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: 0.052
  2. Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation. Sci Rep. 2020 01 30; 10(1):1535.
    View in: PubMed
    Score: 0.040
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.