Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Every living organism has its own genetic "blueprint": the source code for how it grows, functions and reproduces. This ...

BEIJING -- Chinese scientists have launched an ambitious international megascience project to decode the genetic blueprint of ...

Deep-learning model decodes the regulatory effects of DNA changes ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

Department of Biological, Chemical and Environmental Sciences, Wheaton College Massachusetts, Norton, MA, United States Population geneticists increasingly confront a paradox: even with genome-scale ...

Abstract: This paper proposes a two-phase unilateral rule extraction method based on a multiobjective genetic algorithm (URE-MOGA) to solve the challenges of sparse categorical features and model ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

The largest-ever genetic study uncovers 15 new genetic risk factors for celiac disease, opening the door to earlier detection and personalized treatment strategies. Study: Population screening of ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Researchers from Children's Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully employed an algorithm to identify ...