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 …

Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …

Single-cell RNA-sequencing methods are now robust and economically practical and are
becoming a powerful tool for high-throughput, high-resolution transcriptomic analysis of cell …

Mutual information (MI), a quantity describing the nonlinear dependence between two
random variables, has been widely used to construct gene regulatory networks (GRNs) …

Motivation: Reconstruction of gene regulatory networks (GRNs) is of utmost interest to
biologists and is vital for understanding the complex regulatory mechanisms within the cell …

The prediction of links among variables from a given dataset is a task referred to as network
inference or reverse engineering. It is an open problem in bioinformatics and systems …

In many empirical sciences, the causal mechanisms underlying various phenomena need to
be studied. Structural equation modeling is a general framework used for multivariate …

In the last 40 years, male reproductive health—which is very sensitive to both environmental
exposure and metabolic status—has deteriorated and the poor sperm quality observed has …

Molecular mechanisms underlying cancer metastasis span diverse tissues of origin. Here,
we synthesize and collate the transcriptomes of patient-derived xenografts and patient tumor …

Adipose tissue hypertrophy during obesity plays pleiotropic effects on health. Adipose tissue
expandability depends on adipocyte size and number. In mature adipocytes, lipid …