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

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 …

Existing methods for gene regulatory network (GRN) inference rely on gene expression data
alone or on lower resolution bulk data. Despite the recent integration of chromatin …

Recent advances in single-cell omics have transformed characterisation of cell types in
challenging-to-study biological contexts. In contexts with limited single-cell samples, such as …

The correct maintenance and differentiation of hematopoietic stem cells (HSC) in bone
marrow is vital for the maintenance and operation of the human blood system. GATA2 plays …

Eukaryotic gene regulation is a combinatorial, dynamic, and quantitative process that plays
a vital role in development and disease and can be modeled at a systems level in gene …

Abstract Therapeutics Data Commons (tdcommons. ai) is an open science initiative with
unified datasets, AI models, and benchmarks to support research across therapeutic …

Simulated single-cell data is essential for designing and evaluating computational methods
in the absence of experimental ground truth. Existing simulators typically focus on modeling …

Learning how multicellular organs are developed from single cells to different cell types is a
fundamental problem in biology. With the high-throughput scRNA-seq technology …

The development of highly parallel and affordable high-throughput single-cell
transcriptomics technologies has revolutionized our understanding of brain complexity …