The scientific knowledge about which genes are involved in which diseases grows rapidly,
which makes it difficult to keep up with new publications and genetics datasets. The …

Untargeted metabolomics is a powerful phenotyping tool for better understanding biological
mechanisms involved in human pathology development and identifying early predictive …

Alcoholic-related liver disease (ALD) is the cause of more than half of all liver-related deaths.
Sustained excess drinking causes fatty liver and alcohol-related steatohepatitis, which may …

Crisis management effectiveness relies mainly on the quality of the distributed human
organization deployed for saving lives, limiting damage and reducing risks. Organizations set up …

In this paper, we propose a hybrid and exploratory knowledge discovery approach for
analyzing metabolomic complex data based on a combination of supervised classifiers, pattern …

The evolution of human health is a continuum of transitions, involving multifaceted
processes at multiple levels, and there is an urgent need for integrative biomarkers that can …

The analysis of complex and massive biological data issued from metabolomic analytical
platforms is a challenge of high importance. The analyzed datasets are constituted of a limited …

Motivation Genome-wide association studies can reveal important genotype–phenotype
associations; however, data quality and interpretability issues must be addressed. For drug …

In this paper, we introduce an approach for analyzing complex biological data obtained from
metabolomic analytical platforms. Such platforms generate massive and complex data that …

Measures of interestingness play a crucial role in association rule mining. An important
methodological problem, on which several papers appeared in the literature, is to provide a …