KaZam: An integrated inference engine for assembly
Abstract
Cancer signaling is an example of a complicated system where interactions have important causal effects. Creating mechanistic models, rather than correlative models, helps with understanding such systems. The goal of the Big Mechanism is to push forward tool development to support 1) the automatic generation of these models from natural language and 2) the analysis of these models to improve understanding. The Big Mechanism project has four phases - reading, assembly, modeling, and analysis, and our efforts have been put into the later three aspects in the following ways.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 06, 2019
- Accession Number
- AD1091692
Entities
People
- Qinsi Wang
Organizations
- Carnegie Mellon University