Bayesian Omics Integration
Bayesian Omics Integration is a computational framework that employs Bayesian statistical models to jointly analyze multiple omics data types by probabilistically representing uncertainties and dependencies across biological layers.
4
Publications
496
Citations
33
Authors
19
Institutions
Publications per year
2017–2026
3
Parents
4
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data
Qianxing Mo, Ronglai Shen, Cui Guo et al. · Biostatistics · 2017 · 300 citations · Full text
Hiroaki Kikuchi, Hyun Jun Jung, Viswanathan Raghuram et al. · American Journal of Physiology-Renal Physiology · 2021 · 25 citations · Full text
1–5 of 4
33
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 33
19
National Heart Lung and Blood Institute
Bethesda, United States
2 h-index
12 publications
276 citations
National Institutes of Health
Bethesda, United States
2 h-index
12 publications
276 citations
Catholic University of America
Washington D.C., United States
1 h-index
1 publications
17 citations
Case Western Reserve University
Cleveland, United States
1 h-index
1 publications
154 citations
Emory University
Atlanta, United States
1 h-index
1 publications
154 citations
Vanderbilt University Medical Center
Nashville, United States
1 h-index
10 publications
1.5K citations

Rice University
Houston, United States
1 h-index
1 publications
300 citations
Cleveland Clinic Lerner College of Medicine
Cleveland, United States
1 h-index
1 publications
154 citations
1–8 of 19
1 publications · 17 citations
1
h-index
1 publications · 154 citations
1
h-index
1 publications · 300 citations
1
h-index
1 publications · 25 citations
1
h-index
1 publications · 10 citations
1–5