Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
Last Name

Contact Us
If you have any questions or feedback please contact us.


Debashis Ghosh to Bayes Theorem

This is a "connection" page, showing publications Debashis Ghosh has written about Bayes Theorem.

Connection Strength
  1. Ghosh D, Chinnaiyan AM. Empirical Bayes identification [correction of identication] of tumor progression genes from microarray data. Biom J. 2007 Feb; 49(1):68-77.
    View in: PubMed
    Score: 0.264
  2. Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. Biometrics. 2009 Dec; 65(4):1030-40.
    View in: PubMed
    Score: 0.080
  3. Shen R, Taylor JM, Ghosh D. Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. Bioinformatics. 2008 Dec 15; 24(24):2880-6.
    View in: PubMed
    Score: 0.074
  4. Chen W, Ghosh D, Raghunathan TE, Norkin M, Sargent DJ, Bepler G. On Bayesian methods of exploring qualitative interactions for targeted treatment. Stat Med. 2012 Dec 10; 31(28):3693-707.
    View in: PubMed
    Score: 0.024
  5. Chen W, Ghosh D, Raghunathan TE, Sargent DJ. A false-discovery-rate-based loss framework for selection of interactions. Stat Med. 2008 May 20; 27(11):2004-21.
    View in: PubMed
    Score: 0.018
  6. Shen R, Ghosh D, Chinnaiyan AM. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data. BMC Genomics. 2004 Dec 14; 5(1):94.
    View in: PubMed
    Score: 0.014
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.

Copyright © 2023 The Regents of the University of Colorado, a body corporate. All rights reserved. (Harvard PROFILES RNS software version: 2.11.1)