Algoritmos de Inferência de Redes de Regulação Gênica usando Deep Learning

Abstract

In this Guided Teaching Activity (GTA), we studied the problem of inferring gene regulatory networks using Deep Learning and single-cell RNA-Seq (scRNA-Seq) data. To do this, we studied the concepts of Deep Learning from a course on Neural Networks and Deep Learning. A review of the scientific literature on network inference methodologies using Deep Learning models was conducted. Based on the source code provided in some of the studied articles, experiments were partially performed.