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

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

New approach methodologies (NAMs) that efficiently provide information about chemical
hazard without using whole animals are needed to accelerate the pace of chemical risk …

Trainability, in any substrate, refers to the ability to change future behavior based on past
experiences. An understanding of such capacity within biological cells and tissues would …

Neural networks such as variational autoencoders (VAE) perform dimensionality reduction
for the visualization and analysis of genomic data, but are limited in their interpretability: it is …

Motivation The reconstruction of gene regulatory networks (GRNs) from gene expression
data has received increasing attention in recent years, due to its usefulness in the …

Gene regulatory networks (GRNs) process important information in developmental biology
and biomedicine. A key knowledge gap concerns how their responses change over time …

Genes central to drug absorption, distribution, metabolism and elimination (ADME) also
regulate numerous endogenous molecules. The Remote Sensing and Signaling Hypothesis …

Gene regulatory networks allow organisms to generate coordinated responses to
environmental challenges. In bacteria, regulatory networks are re-wired and re-purposed …

Accurate inference of gene regulatory networks (GRNs) is an essential premise for
understanding pathogenesis and curing diseases. Various computational methods have …