Transcriptional regulation is a fundamental molecular mechanism involved in almost every
aspect of life, from homeostasis to development, from metabolism to behavior, from reaction …

Network inference, which is the reconstruction of biological networks from high-throughput
data, can provide valuable information about the regulation of gene expression in cells …

Th17 cells have critical roles in mucosal defense and are major contributors to inflammatory
disease. Their differentiation requires the nuclear hormone receptor RORγt working with …

Background Current technologies have lead to the availability of multiple genomic data
types in sufficient quantity and quality to serve as a basis for automatic global network …

Plants regulate molecular bioactivity in response to daily and seasonal environmental
fluctuations in temperature, light, humidity, and precipitation. These rhythms interconnect …

Molecular interaction networks lay the foundation for studying how biological functions are
controlled by the complex interplay of genes and proteins. Investigating perturbed processes …

Background Many current works aiming to learn regulatory networks from systems biology
data must balance model complexity with respect to data availability and quality. Methods …

Accurate inference of regulatory networks from experimental data facilitates the rapid
characterization and understanding of biological systems. High-throughput technologies can …

Results In this work, we present the Inferelator 3.0, which has been significantly updated to
integrate data from distinct cell types to learn context-specific regulatory networks and …

Motivation Gene regulatory networks define regulatory relationships between transcription
factors and target genes within a biological system, and reconstructing them is essential for …