HIGHLIGHTS
- who: Kyriaki Founta from the (UNIVERSITY) have published the research: Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning, in the Journal: (JOURNAL)
- what: The aim of this study was to develop a methodology for training interpretable machine learning models in the classification of ALS and ALS-subtypes samples using gene expression datasets. A publicly available gene_expression dataset from the study of Batra et_al was used to evaluate the efficiency of the methodology . The focus of the study is to identify the genes forming the optimal SES regression models. If . . .
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