The predominance of partial least squares-discriminant analysis (PLS-DA) used to analyze
metabolomics datasets (indeed, it is the most well-known tool to perform classification and …

Although recent genome-wide studies have provided valuable insights into the genetic basis
of human disease, they have explained relatively little of the heritability of most complex …

Accurate colorectal cancer (CRC) risk prediction models are critical for identifying
individuals at low and high risk of develo** CRC, as they can then be offered targeted …

Modern biology has experienced an increased use of machine learning techniques for large
scale and complex biological data analysis. In the area of Bioinformatics, the Random Forest …

Abstract In the Life Sciences 'omics' data is increasingly generated by different high-
throughput technologies. Often only the integration of these data allows uncovering …

Rapid advances in high-throughput genomic technology have enabled biology to enter the
era of 'Big Data'(large datasets). The plant science community not only needs to build its …

Bats are unique among mammals, possessing some of the rarest mammalian adaptations,
including true self-powered flight, laryngeal echolocation, exceptional longevity, unique …

Colorectal cancer is a complex disease resulting from somatic genetic and epigenetic
alterations, including locus-specific CpG island methylation and global DNA or LINE-1 …

Genetic data have become increasingly complex within the past decade, leading
researchers to pursue increasingly complex questions, such as those involving epistatic …

Motivation: Widespread availability of low-cost, full genome sequencing will introduce new
challenges for bioinformatics. Results: This review outlines recent developments in …