Modeling structured biological processes with machine learning
Models of natural phenomena have played a fundamental role in scientific progress. In modern biology, we seek to model ever more complex phenomena, driven by advances in highthroughput measurement technology and machine learning. These advances motivate a topdown data-driven modeling approach, but d...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/139524 |