High-throughput sequencing, single-cell technologies, and large-scale population studies have transformed genetics and genomics into data-intensive ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Living organisms share an ancestor called the last universal common ancestor, or LUCA. LUCA is estimated to have lived ...

BEIJING -- Chinese scientists have launched an ambitious international megascience project to decode the genetic blueprint of major land plant lineages, aiming to construct a complete "tree of life" ...

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...

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 ...

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 ...