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

A fundamental task in various disciplines of science, including biology, is to find underlying
causal relations and make use of them. Causal relations can be seen if interventions are …

Fibrotic skin disease represents a major global healthcare burden, characterized by
fibroblast hyperproliferation and excessive accumulation of extracellular matrix. Fibroblasts …

Cancer-associated fibroblasts (CAF) are major players in the progression and drug
resistance of pancreatic ductal adenocarcinoma (PDAC). CAFs constitute a diverse cell …

Identifying the transcription factors (TFs) responsible for observed changes in gene
expression is an important step in understanding gene regulatory networks. ChIP-X …

We performed an extensive immunogenomic analysis of more than 10,000 tumors
comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer …

Microbial network construction is a popular explorative data analysis technique in
microbiome research. Although a large number of microbial network construction tools has …

Mass spectrometry-based proteomics empowers deep profiling of proteome and protein
posttranslational modifications (PTMs) in Alzheimer's disease (AD). Here we review the …

Machine learning, a collection of data-analytical techniques aimed at building predictive
models from multi-dimensional datasets, is becoming integral to modern biological research …

It is well established that the vast majority of human RNA transcripts do not encode for
proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A …