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Machine learning model for malaria risk prediction based on mutation location of large-scale genetic variation data

2022-06-25

Abstract excerpt

Abstract In recent malaria research, the complexity of the disease has been explored using machine learning models via blood smear images, environmental, and even RNA-Seq data. However, a machine learning model based on genetic variation data is still required to fully explore individual malaria risk. Furthermore, many Genome-Wide Associations Studies (GWAS) have associated specific genetic markers, i.e., single n...

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Literature Corpus work
2ead06dd-1368-54a2-9d88-80ec9e595cfb
DOI
10.1186/s40537-022-00635-x
Open publication

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