RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Glorisa Canino to Computational Biology

Back to Details
This is a "connection" page, showing publications Glorisa Canino has written about Computational Biology.
Glorisa Canino
Connection Strength
0.036
Computational Biology
  1. Yan Q, Liu N, Forno E, Canino G, Celed?n JC, Chen W. An integrative association method for omics data based on a modified Fisher's method with application to childhood asthma. PLoS Genet. 2019 05; 15(5):e1008142.
    View in: PubMed
    Score: 0.036
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.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support