Genome-wide association studies (GWASs) have become the focus of the statistical analysis
of complex traits in humans, successfully shedding light on several aspects of genetic …

The rise of big data has led to new demands for machine learning (ML) systems to learn
complex models, with millions to billions of parameters, that promise adequate capacity to …

Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

Abstract Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …

Background Gene expression is a key intermediate level that genotypes lead to a particular
trait. Gene expression is affected by various factors including genotypes of genetic variants …

Motivation: Exploring the genetic basis of heritable traits remains one of the central
challenges in biomedical research. In traits with simple Mendelian architectures, single …

Abstract Machine learning, particularly kernel methods, has been demonstrated as a
promising new tool to tackle the challenges imposed by today's explosive data growth in …

Motivation: As a promising tool for dissecting the genetic basis of complex traits, expression
quantitative trait loci (eQTL) mapping has attracted increasing research interest. An …

Background Single-cell RNA sequencing is a powerful technology to discover new cell types
and study biological processes in complex biological samples. A current challenge is to …

Background Ovarian cancer is a deadly female reproductive cancer. Understanding the
biological mechanisms underlying ovarian cancer could help lead to quicker and more …