Clinical Sciences - QBRC

Fingerprint Dive into the research topics where Clinical Sciences - QBRC is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output

    A Bayesian hidden Potts mixture model for analyzing lung cancer pathology images

    Li, Q., Wang, X., Liang, F., Yi, F., Xie, Y., Gazdar, A. & Xiao, G., Oct 1 2019, In : Biostatistics (Oxford, England). 20, 4, p. 565-581 17 p.

    Research output: Contribution to journalArticle

  • A bayesian mark interaction model for analysis of tumor pathology images

    Li, B. Q., Wang, X., Liang, F. & Xiao, G., Sep 2019, In : Annals of Applied Statistics. 13, 3, p. 1708-1732 25 p.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Scopus citations

    A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications

    Li, X., Wang, X. & Xiao, G., Jan 18 2019, In : Briefings in Bioinformatics. 20, 1, p. 178-189 12 p.

    Research output: Contribution to journalArticle

  • 8 Scopus citations