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Omics-Cnn: A Comprehensive Pipeline for Predictive Analytics in Quantitative Omics Using One Dimensional Convolutional Neural Networks

2023-04-30

Abstract excerpt

Background and Objective: The development of machine learning-based models that can be used for the prediction of severe diseases has been one of the main concerns of the scientific community. The current study seeks to expand a highly sophisticated tool, the Convolutional Neural Networks, making it applicable to multidimensional omics data classification problems and test the newly introduced method on publicly...

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Literature Corpus work
2aae7e11-7168-5b40-9152-f02c4253c4ec
DOI
10.2139/ssrn.4427000
Open publication

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Omics-Cnn: A Comprehensive Pipeline for Predictive Analytics in Quantitative Omics Using One Dimensional Convolutional Neural NetworksDOI 10.2139/ssrn.4427000
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