A web-based automated machine learning platform to analyze liquid biopsy data
Abstract
We have developed a web-based, self-improving and overfitting-resistant automated machine learning tool tailored specifically for liquid biopsy data, where machine learning models can be built without the user's input.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2020
- Source ID
- 10.1039/d0lc00096e
Entities
People
- Ari Benjamin
- David Issadore
- Hanfei Shen
- Jesse Cui
- Konrad Körding
- Piyush Borole
- Tony Liu
Organizations
- Allen Foundation
- Congressionally Directed Medical Research Programs
- National Cancer Institute
- New Jersey Commission on Brain Injury Research
- United States Army
- University of Pennsylvania