New Results
Interpretable per Case Weighted Ensemble Method for Cancer Associations
Adrin Jalali, Nico Pfeifer
doi: https://doi.org/10.1101/008185
Adrin Jalali
1Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany
2Saarbrücken Graduate School of Computer Science, Saarland University, Saarbrücken, Germany
Nico Pfeifer
1Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany
Article usage
Posted September 15, 2014.
Interpretable per Case Weighted Ensemble Method for Cancer Associations
Adrin Jalali, Nico Pfeifer
bioRxiv 008185; doi: https://doi.org/10.1101/008185
Subject Area
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)