Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

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 …

In the past decade, significant progress has been made in complex disease research across
multiple omics layers from genome, transcriptome and proteome to metabolome. There is an …

Cyanobacteria harmful blooms (CyanoHABs) in lakes and reservoirs represent a major risk
for water authorities globally due to their toxicity and economic impacts. Anticipating bloom …

Over the past decade, single-cell genomics technologies have allowed scalable profiling of
cell-type-specific features, which has substantially increased our ability to study cellular …

Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …

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

One of the pressing open problems of computational systems biology is the elucidation of
the topology of genetic regulatory networks (GRNs) using high throughput genomic data, in …

Graphical models provide visual representations of the qualitative structure of our beliefs
between collections of random quantities. Bayesian Networks are directed acyclic graphical …

Background Co-expression measures are often used to define networks among genes.
Mutual information (MI) is often used as a generalized correlation measure. It is not clear …