Predicting and explaining the impact of genetic disruptions and interactions on organismal viability.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Sep 2, 2022
Abstract
MOTIVATION: Existing computational models can predict single- and double-mutant fitness but they do have limitations. First, they are often tested via evaluation metrics that are inappropriate for imbalanced datasets. Second, all of them only predict a binary outcome (viable or not, and negatively interacting or not). Third, most are uninterpretable black box machine learning models.