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Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

2023-07-10

Abstract excerpt

<h4>Background: </h4> Pancreatic cancer (PC) is a digestive malignancy with worse overall survival and we aimed to detect the TIME-related classifier to facilitate the personalized treatment of PC. <h4>Methods: </h4> Unsupervised consensus clustering and multiple machine-learning algorithms were implemented to construct the immune-related signature (IRS). scRNA-seq analysis was conducted to explore the regulatory...

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Literature Corpus work
495a377e-cea1-52e7-9ea7-fbc4b66d7c1a
DOI
10.21203/rs.3.rs-3137621/v1
Open publication

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Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancerDOI 10.21203/rs.3.rs-3137621/v1
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