New Results
Tree-weighting for multi-study ensemble learners
Maya Ramchandran, Prasad Patil, Giovanni Parmigiani
doi: https://doi.org/10.1101/698779
Maya Ramchandran
1Department of Biostatistics, Harvard T.H. Chan School of Public Health
Prasad Patil
1Department of Biostatistics, Harvard T.H. Chan School of Public Health
2Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute
Giovanni Parmigiani
1Department of Biostatistics, Harvard T.H. Chan School of Public Health
2Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute

- Supplement[supplements/698779_file02.pdf]
Posted July 11, 2019.
Tree-weighting for multi-study ensemble learners
Maya Ramchandran, Prasad Patil, Giovanni Parmigiani
bioRxiv 698779; doi: https://doi.org/10.1101/698779
Subject Area
Subject Areas
- Biochemistry (9101)
- Bioengineering (6748)
- Bioinformatics (23932)
- Biophysics (12081)
- Cancer Biology (9489)
- Cell Biology (13727)
- Clinical Trials (138)
- Developmental Biology (7614)
- Ecology (11655)
- Epidemiology (2066)
- Evolutionary Biology (15475)
- Genetics (10614)
- Genomics (14291)
- Immunology (9455)
- Microbiology (22773)
- Molecular Biology (9069)
- Neuroscience (48836)
- Paleontology (354)
- Pathology (1479)
- Pharmacology and Toxicology (2560)
- Physiology (3821)
- Plant Biology (8307)
- Synthetic Biology (2289)
- Systems Biology (6168)
- Zoology (1297)