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

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

Connection

Debashis Ghosh to Polymorphism, Single Nucleotide

This is a "connection" page, showing publications Debashis Ghosh has written about Polymorphism, Single Nucleotide.

 
Connection Strength
 
 
 
0.372
 
  1. Hua WY, Ghosh D. Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies. Biometrics. 2015 Sep; 71(3):812-20.
    View in: PubMed
    Score: 0.305
  2. Holleman AM, Broadaway KA, Duncan R, Todor A, Almli LM, Bradley B, Ressler KJ, Ghosh D, Mulle JG, Epstein MP. Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies. Sci Rep. 2019 05 17; 9(1):7523.
    View in: PubMed
    Score: 0.025
  3. Ge T, Nichols TE, Ghosh D, Mormino EC, Smoller JW, Sabuncu MR. A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application. Neuroimage. 2015 Apr 01; 109:505-514.
    View in: PubMed
    Score: 0.019
  4. den Hollander AI, McGee TL, Ziviello C, Banfi S, Dryja TP, Gonzalez-Fernandez F, Ghosh D, Berson EL. A homozygous missense mutation in the IRBP gene (RBP3) associated with autosomal recessive retinitis pigmentosa. Invest Ophthalmol Vis Sci. 2009 Apr; 50(4):1864-72.
    View in: PubMed
    Score: 0.012
  5. Kwee LC, Liu D, Lin X, Ghosh D, Epstein MP. A powerful and flexible multilocus association test for quantitative traits. Am J Hum Genet. 2008 Feb; 82(2):386-97.
    View in: PubMed
    Score: 0.012
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)