The University of Chicago Header Logo

Connection

Matthew Stephens to Computational Biology

This is a "connection" page, showing publications Matthew Stephens has written about Computational Biology.
Connection Strength

0.667
  1. Visualizing the structure of RNA-seq expression data using grade of membership models. PLoS Genet. 2017 Mar; 13(3):e1006599.
    View in: PubMed
    Score: 0.450
  2. 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: 0.139
  3. Imputation-based analysis of association studies: candidate regions and quantitative traits. PLoS Genet. 2007 Jul; 3(7):e114.
    View in: PubMed
    Score: 0.057
  4. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat Genet. 2012 Jul 22; 44(8):955-9.
    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.