A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Abstract: The traveling salesman problem (TSP) is one of many well-known combinatorial problems. TSP could be ex-plained as difficulty of finding the shortest distance to travel from the first city, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...
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 ...
A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...
Abstract: The compact genetic algorithm (cGA) is one of the simplest estimation-of-distribution algorithms (EDAs). Next to the univariate marginal distribution algorithm (UMDA)– another simple EDA–, ...
For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...
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