Understanding regulatory mechanisms of stress response in plants has important biological and agricultural significances. In this study, we firstly compiled a set of genes responsive to different stresses in Arabidopsis thaliana and then …
Machine learning (ML) is an intelligent data mining technique that builds a prediction model based on the learning of prior knowledge to recognize patterns in large-scale data sets. We present an ML-based methodology for transcriptome analysis via …
Machine learning-based differential network analysis
One of the computational challenges in plant systems biology is to accurately infer transcriptional regulation relationships based on correlation analyses of gene expression patterns. Despite several correlation methods that are applied in biology to …
Gini-based transcriptiome analysis