Integrating TCGA and single-cell sequencing data for colorectal cancer: a 10-gene prognostic risk assessment model

Integrating TCGA and single-cell sequencing data for colorectal cancer: a 10-gene prognostic risk assessment model

Abstract Colorectal cancer represents a significant health threat, yet a standardized method for early clinical assessment and prognosis remains elusive. This study sought to address this gap by using the Seurat package to analyze a single-cell sequencing dataset (GSE178318) of colorectal cancer, th...

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Bibliographic Details
Main Authors: Di Lu, Xiaofang Li, Yuan Yuan, Yaqi Li, Jiannan Wang, Qian Zhang, Zhiyu Yang, Shanjun Gao, Xiulei Zhang, Bingxi Zhou
Format: Article
Language:English
Published: Springer 2023-09-01
Series:Discover Oncology
Subjects:
Colorectal cancer
scRNA-seq
Bioinformatics
TCGA
10-gene signature
Online Access:https://doi.org/10.1007/s12672-023-00789-x

Internet

https://doi.org/10.1007/s12672-023-00789-x

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