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Connection

Yuan Ji to Markov Chains

This is a "connection" page, showing publications Yuan Ji has written about Markov Chains.
Connection Strength

0.123
  1. Bayesian graphical models for computational network biology. BMC Bioinformatics. 2018 03 21; 19(Suppl 3):63.
    View in: PubMed
    Score: 0.039
  2. A BAYESIAN NONPARAMETRIC MODEL FOR RECONSTRUCTING TUMOR SUBCLONES BASED ON MUTATION PAIRS. Pac Symp Biocomput. 2016; 21:393-404.
    View in: PubMed
    Score: 0.033
  3. Bayclone: Bayesian nonparametric inference of tumor subclones using NGS data. Pac Symp Biocomput. 2015; 467-78.
    View in: PubMed
    Score: 0.031
  4. Monitoring late-onset toxicities in phase I trials using predicted risks. Biostatistics. 2008 Jul; 9(3):442-57.
    View in: PubMed
    Score: 0.019
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.