The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated
protein 9 (Cas9) system has become a successful and promising technology for gene …

Clustered regularly interspaced short palindromic repeat (CRISPR)-based genome editing
(GED) technologies have unlocked exciting possibilities for understanding genes and …

Computational methods have made substantial progress in improving the accuracy and
throughput of pathology workflows for diagnostic, prognostic, and genomic prediction. Still …

Given the powerful implications of relationship quality for health and well-being, a central
mission of relationship science is explaining why some romantic relationships thrive more …

We apply unsupervised machine learning techniques, mainly principal component analysis
(PCA), to compare and contrast the phase behavior and phase transitions in several …

As the bioinformatics field grows, it must keep pace not only with new data but with new
algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used …

Epistasis, or interactions between genes, has long been recognized as fundamentally
important to understanding the structure and function of genetic pathways and the …

Following the identification of several disease-associated polymorphisms by genome-wide
association (GWA) analysis, interest is now focusing on the detection of effects that, owing to …

BACKGROUND: The widespread availability of new computational methods and tools for
data analysis and predictive modeling requires medical informatics researchers and …

Ensemble learning is an intensively studied technique in machine learning and pattern
recognition. Recent work in computational biology has seen an increasing use of ensemble …