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KIM-ANH DO to Sequence Analysis, RNA

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This is a "connection" page, showing publications KIM-ANH DO has written about Sequence Analysis, RNA.
KIM-ANH DO
Connection Strength
0.192
Sequence Analysis, RNA
  1. A machine learning-based method for automatically identifying novel cells in annotating single-cell RNA-seq data. Bioinformatics. 2022 10 31; 38(21):4885-4892.
    View in: PubMed
    Score: 0.160
  2. Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes. Cell. 2019 08 08; 178(4):795-806.e12.
    View in: PubMed
    Score: 0.032
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.