New Results
Application of post-selection inference to multi-omics data yields insights into the etiologies of human diseases
Ronald Yurko, Max G’Sell, Kathryn Roeder, Bernie Devlin
doi: https://doi.org/10.1101/806471
Ronald Yurko
aDepartment of Statistics & Data Science, Carnegie Mellon University
Max G’Sell
aDepartment of Statistics & Data Science, Carnegie Mellon University
Kathryn Roeder
aDepartment of Statistics & Data Science, Carnegie Mellon University
bDepartment of Computational Biology, Carnegie Mellon University
Bernie Devlin
cDepartment of Psychiatry, University of Pittsburgh School of Medicine

- Supplemental Table 1[supplements/806471_file02.xlsx]
Posted October 16, 2019.
Application of post-selection inference to multi-omics data yields insights into the etiologies of human diseases
Ronald Yurko, Max G’Sell, Kathryn Roeder, Bernie Devlin
bioRxiv 806471; doi: https://doi.org/10.1101/806471
Subject Area
Subject Areas
- Biochemistry (4779)
- Bioengineering (3319)
- Bioinformatics (14637)
- Biophysics (6620)
- Cancer Biology (5158)
- Cell Biology (7405)
- Clinical Trials (138)
- Developmental Biology (4343)
- Ecology (6864)
- Epidemiology (2057)
- Evolutionary Biology (9893)
- Genetics (7331)
- Genomics (9502)
- Immunology (4540)
- Microbiology (12644)
- Molecular Biology (4928)
- Neuroscience (28245)
- Paleontology (199)
- Pathology (803)
- Pharmacology and Toxicology (1384)
- Physiology (2014)
- Plant Biology (4482)
- Synthetic Biology (1295)
- Systems Biology (3907)
- Zoology (722)