Genome-Enabled Prediction Methods Based on Machine Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2205-6_7
Abstract: Growth of artificial intelligence and machine learning (ML) methodology has been explosive in recent years. In this class of procedures, computers get knowledge from sets of experiences and provide forecasts or classification. In genome-wide based… read more here.
Keywords: enabled prediction; prediction methods; machine; genome enabled ... See more keywords
Genome-enabled discovery of evolutionary divergence in brains and behavior
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DOI: 10.1038/s41598-021-92385-8
Abstract: Lake Malawi cichlid fishes exhibit extensive divergence in form and function built from a relatively small number of genetic changes. We compared the genomes of rock- and sand-dwelling species and asked which genetic variants differed… read more here.
Keywords: discovery evolutionary; enabled discovery; divergence; genome enabled ... See more keywords
Genome-enabled insights into the biology of thrips as crop pests
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DOI: 10.1186/s12915-020-00862-9
Abstract: Background The western flower thrips, Frankliniella occidentalis (Pergande), is a globally invasive pest and plant virus vector on a wide array of food, fiber, and ornamental crops. The underlying genetic mechanisms of the processes governing… read more here.
Keywords: insights biology; biology; thrips crop; genome enabled ... See more keywords
White Lupin Adaptation to Moderately Calcareous Soils: Phenotypic Variation and Genome-Enabled Prediction
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DOI: 10.3390/plants12051139
Abstract: White lupin is a promising high-protein crop, the cultivation of which is limited by a lack of adaptation to soils that are even just mildly calcareous. This study aimed to assess the phenotypic variation, the… read more here.
Keywords: moderately calcareous; genome enabled; white lupin; phenotypic variation ... See more keywords