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In this study, a dataset of row mRNA-seq counts obtained from Type 2 Diabetes (T2D) patients was analyzed using various statistical and machine learning methods: among these, LDA was chosen as the best performing, and therefore used to obtain a list of significant genes.
giulio-ran/Network-based-expression-analysis
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In this study, a dataset of row mRNA-seq counts obtained from Type 2 Diabetes (T2D) patients was analyzed using various statistical and machine learning methods: among these, LDA was chosen as the best performing, and therefore used to obtain a list of significant genes.
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