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Integration of RNA Editing with Multiomics Data Improves Machine Learning Models for Predicting Drug Responses in Breast Cancer Patients

2024-12-17

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> The integration of conventional omics data such as genomics and transcriptomics data into artificial intelligence models has advanced significantly in recent years; however, their low applicability in clinical contexts, due to the high complexity of models, has been limited in their direct use inpatients. We integrated classic omics, including DNA mutation an...

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Literature Corpus work
152f156a-179a-5bcb-834d-48f3e4a2fe06
DOI
10.21203/rs.3.rs-5604105/v1
Open publication

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Integration of RNA Editing with Multiomics Data Improves Machine Learning Models for Predicting Drug Responses in Breast Cancer PatientsDOI 10.21203/rs.3.rs-5604105/v1
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