Multi-label learning deals with problems where each example is represented by a single
instance while being associated with multiple class labels simultaneously. Binary relevance …

Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …

Vertebrate corpse decomposition provides an important stage in nutrient cycling in most
terrestrial habitats, yet microbially mediated processes are poorly understood. Here we …

Resting-state functional connectivity (FC) has helped reveal the intrinsic network
organization of the human brain, yet its relevance to cognitive task activations has been …

Cognition and behavior emerge from brain network interactions, such that investigating
causal interactions should be central to the study of brain function. Approaches that …

Background Several recent studies reported aging effects on DNA methylation levels of
individual CpG dinucleotides. But it is not yet known whether aging-related consensus …

Transcriptional regulation is a fundamental molecular mechanism involved in almost every
aspect of life, from homeostasis to development, from metabolism to behavior, from reaction …

The motor system comprises a network of cortical and subcortical areas interacting via
excitatory and inhibitory circuits, thereby governing motor behaviour. The balance within the …

Noise permeates biology on all levels, from the most basic molecular, sub-cellular
processes to the dynamics of tissues, organs, organisms and populations. The functional …

The merging of network theory and microarray data analysis techniques has spawned a new
field: gene coexpression network analysis. While network methods are increasingly used in …