Sabrina Kurtz-Rossi, Ifechi Augusta Okonkwo, Ye Chen, Noe Dueñas, Timothy Bilodeau, Alice Rushforth, Andreas Klein
Development of a New Tool for Writing Research Key Information in Plain Language
Health literacy research and practice
fundamental global staple crop rice plays pivotal role human nutrition agricultural production systems however complex genetic architecture extensive trait variability pose challenges breeders researchers optimizing yield quality particularly expedite breeding methods like genomic selection isolating core snps related target traits genomewide data reduces irrelevant mutation noise enhancing computational precision efficiency thus exploring efficient computational approaches mine core snps great importance study introduces plantmine innovative computational framework integrates feature selection machine learning techniques effectively identify core snps critical improvement rice traits utilizing dataset 3000 rice genomes project applied different algorithms analysis findings underscore effectiveness combining feature selection machine learning accurately identifying core snps offering promising avenue expedite rice breeding efforts improve crop productivity resilience stress