New Results
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
View ORCID ProfileElisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
doi: https://doi.org/10.1101/2020.08.24.265116
Elisabetta Manduchi
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
Weixuan Fu
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
Joseph D. Romano
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
Stefano Ruberto
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
Jason H. Moore
1Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
2Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA

Article usage
Posted August 24, 2020.
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
bioRxiv 2020.08.24.265116; doi: https://doi.org/10.1101/2020.08.24.265116
Subject Area
Subject Areas
- Biochemistry (8813)
- Bioengineering (6518)
- Bioinformatics (23456)
- Biophysics (11788)
- Cancer Biology (9205)
- Cell Biology (13318)
- Clinical Trials (138)
- Developmental Biology (7433)
- Ecology (11407)
- Epidemiology (2066)
- Evolutionary Biology (15146)
- Genetics (10433)
- Genomics (14041)
- Immunology (9169)
- Microbiology (22152)
- Molecular Biology (8808)
- Neuroscience (47559)
- Paleontology (350)
- Pathology (1428)
- Pharmacology and Toxicology (2491)
- Physiology (3730)
- Plant Biology (8079)
- Synthetic Biology (2220)
- Systems Biology (6037)
- Zoology (1252)