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Connection

Yuan Ji to Computational Biology

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

0.704
  1. RefSeq refinements of UniGene-based gene matching improve the correlation of expression measurements between two microarray platforms. Appl Bioinformatics. 2006; 5(2):89-98.
    View in: PubMed
    Score: 0.207
  2. Applications of beta-mixture models in bioinformatics. Bioinformatics. 2005 May 01; 21(9):2118-22.
    View in: PubMed
    Score: 0.195
  3. Bayesian graphical models for computational network biology. BMC Bioinformatics. 2018 03 21; 19(Suppl 3):63.
    View in: PubMed
    Score: 0.121
  4. Targeted gene capture and massively parallel sequencing identify TMC1 as the causative gene in a six-generation Chinese family with autosomal dominant hearing loss. Am J Med Genet A. 2015 Oct; 167A(10):2357-65.
    View in: PubMed
    Score: 0.100
  5. Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clin Cancer Inform. 2019 02; 3:1-9.
    View in: PubMed
    Score: 0.032
  6. A BAYESIAN NONPARAMETRIC MODEL FOR RECONSTRUCTING TUMOR SUBCLONES BASED ON MUTATION PAIRS. Pac Symp Biocomput. 2016; 21:393-404.
    View in: PubMed
    Score: 0.026
  7. Bayclone: Bayesian nonparametric inference of tumor subclones using NGS data. Pac Symp Biocomput. 2015; 467-78.
    View in: PubMed
    Score: 0.024
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.