As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

This article reviews machine learning methods for bioinformatics. It presents modelling
methods, such as supervised classification, clustering and probabilistic graphical models for …

To provide an effective substrate for cognitive processes, functional brain networks should
be able to reorganize and coordinate on a sub-second temporal scale. We used …

Motivation: Clinical data, such as patient history, laboratory analysis, ultrasound parameters—
which are the basis of day-to-day clinical decision support—are often underused to guide …

We present a new approach for calculating reaction coordinates in complex systems. The
new method is based on transition path sampling and likelihood maximization. It requires …

Flip-flop pharmacokinetics is a phenomenon often encountered with extravascularly
administered drugs. Occurrence of flip-flop spans preclinical to human studies. The purpose …

Reaction coordinates are integral to several classic rate theories that can (a) predict kinetic
trends across conditions and homologous reactions,(b) extract activation parameters with a …

Bayesian networks (BNs) provide a neat and compact representation for expressing joint
probability distributions (JPDs) and for inference. They are becoming increasingly important …

There have been various attempts to reconstruct gene regulatory networks from microarray
expression data in the past. However, owing to the limited amount of independent …

Combinatorial optimization problems over large and complex systems have many
applications in social networks, image processing, artificial intelligence, computational …