Principal component analysis is a versatile statistical method for reducing a cases-by-
variables data table to its essential features, called principal components. Principal …

Artificial intelligence (AI) models based on deep learning now represent the state of the art
for making functional predictions in genomics research. However, the underlying basis on …

Interpretable machine learning aims at unveiling the reasons behind predictions returned by
uninterpretable classifiers. One of the most valuable types of explanation consists of …

Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-
related diseases and increase healthspan have suggested targeting the ageing process …

Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …

The levels of the thousands of metabolites in the human plasma metabolome are strongly
influenced by an individual's genetics and the composition of their diet and gut microbiome …

The expanding scale and inherent complexity of biological data have encouraged a growing
use of machine learning in biology to build informative and predictive models of the …

Triple-negative breast cancer (TNBC) is a rare cancer, characterized by high metastatic
potential and poor prognosis, and has limited treatment options. The current standard of …

Previous genome-wide association studies (GWASs) of stroke—the second leading cause of
death worldwide—were conducted predominantly in populations of European ancestry …

Network-based Intrusion Detection System (NIDS) forms the frontline defence against
network attacks that compromise the security of the data, systems, and networks. In recent …