New Results
Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies
Carl Kadie, David Heckerman
doi: https://doi.org/10.1101/154682
Carl Kadie
1Microsoft Research, Redmond, WA 98052
David Heckerman
1Microsoft Research, Redmond, WA 98052
2Human Longevity, Inc., Mountain View, CA 94041

Article usage
Posted June 23, 2017.
Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies
Carl Kadie, David Heckerman
bioRxiv 154682; doi: https://doi.org/10.1101/154682
Subject Area
Subject Areas
- Biochemistry (10793)
- Bioengineering (8043)
- Bioinformatics (27298)
- Biophysics (13986)
- Cancer Biology (11125)
- Cell Biology (16056)
- Clinical Trials (138)
- Developmental Biology (8780)
- Ecology (13289)
- Epidemiology (2067)
- Evolutionary Biology (17359)
- Genetics (11688)
- Genomics (15919)
- Immunology (11032)
- Microbiology (26078)
- Molecular Biology (10638)
- Neuroscience (56546)
- Paleontology (418)
- Pathology (1732)
- Pharmacology and Toxicology (3004)
- Physiology (4546)
- Plant Biology (9629)
- Synthetic Biology (2686)
- Systems Biology (6977)
- Zoology (1509)