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Integration of Single-Cell and Bulk RNA Sequencing Data using Ecotype Machine Learning for Prognostic Biomarker Discovery in Gastric Cancer

2024-07-18

Abstract excerpt

<title>Abstract</title> <p>Background EcoTyper is a new machine learning framework, this work attempted to constructed an EcoTyper-related prognostic model for gastric cancer (GC). Methods The scRNA-seq data and bulk RNA-seq data for GC were obtained from the GEO and TCGA databases, respectively. Cell composition deconvolution was performed using CIBERSORTx. EcoTyper was employed for de novo discovery of scRNA-...

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Literature Corpus work
64371456-0511-5c0d-98aa-8ffd0e95caa7
DOI
10.21203/rs.3.rs-4602919/v1
Open publication

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Integration of Single-Cell and Bulk RNA Sequencing Data using Ecotype Machine Learning for Prognostic Biomarker Discovery in Gastric CancerDOI 10.21203/rs.3.rs-4602919/v1
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