Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets.
Journal:
Journal of biomedical semantics
Published Date:
Jun 26, 2017
Abstract
BACKGROUND: High-throughput methods in molecular biology provided researchers with abundance of experimental data that need to be interpreted in order to understand the experimental results. Manual methods of functional gene/protein group interpretation are expensive and time-consuming; therefore, there is a need to develop new efficient data mining methods and bioinformatics tools that could support the expert in the process of functional analysis of experimental results.