New Results
Non-Parametric Genetic Prediction of Complex Traits with Latent Dirichlet Process Regression Models
Ping Zeng, Xiang Zhou
doi: https://doi.org/10.1101/149609
Ping Zeng
1 Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
2 Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Xiang Zhou
2 Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
3 Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Article usage
Posted June 13, 2017.
Non-Parametric Genetic Prediction of Complex Traits with Latent Dirichlet Process Regression Models
Ping Zeng, Xiang Zhou
bioRxiv 149609; doi: https://doi.org/10.1101/149609
Subject Area
Subject Areas
- Biochemistry (11730)
- Bioengineering (8743)
- Bioinformatics (29179)
- Biophysics (14963)
- Cancer Biology (12080)
- Cell Biology (17399)
- Clinical Trials (138)
- Developmental Biology (9417)
- Ecology (14173)
- Epidemiology (2067)
- Evolutionary Biology (18294)
- Genetics (12233)
- Genomics (16791)
- Immunology (11858)
- Microbiology (28051)
- Molecular Biology (11575)
- Neuroscience (60918)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4955)
- Plant Biology (10422)
- Synthetic Biology (2881)
- Systems Biology (7338)
- Zoology (1650)