Article

Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection

2023-11-29

Abstract excerpt

<h4>ABSTRACT</h4> With the widespread use of high-throughput sequencing technologies, understanding biology and cancer heterogeneity has been revolutionized. Recently, several machine-learning models based on transcriptional data have been developed to accurately predict patient’s outcome and clinical response. However, an open-source R package covering state-of-the-art machine learning algorithms for user-friend...

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Literature Corpus work: 256539d1-8ad0-58a9-a672-2110f12c7d47
DOI: 10.1101/2023.11.28.569007

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