The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

Studies of mammalian development have advanced our understanding of the genetic,
epigenetic, and cellular processes that orchestrate embryogenesis and have uncovered …

Inferring gene regulatory networks (GRNs) is a fundamental challenge in biology that aims
to unravel the complex relationships between genes and their regulators. Deciphering these …

Motivation The burgeoning generation of single-cell or spatial multiomic data allows for the
characterization of gene regulation networks (GRNs) at an unprecedented resolution …

Studies in the mouse demonstrate the importance of fibroblast growth factor (FGF) and extra-
cellular receptor tyrosine kinase (ERK) in specification of embryo-fated epiblast and yolk-sac …

Crop breeding entails developing and selecting plant varieties with improved agronomic
traits. Modern molecular techniques, such as genome editing, enable more efficient …

Gene expression plays a pivotal role in various diseases, contributing significantly to their
mechanisms. Most GWAS risk loci are in non-coding regions, potentially affecting disease …

Inference of gene regulatory networks (GRNs) can reveal cell state transitions from single-
cell genomics data. However, obstacles to temporal inference from snapshot data are …

We propose a novel way of representing and analysing single-cell genomic count data, by
modelling the observed data count matrix as a network adjacency matrix, noting that similar …

In the context of health and disease research, cells use signaling pathways that transduce
stimuli from the extracellular environment to modulate intracellular gene expression via the …