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A prognostic risk model including nine hypoxia-related genes

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ccHPS

a Hypoxia-related Prognostic Signature for cervical cancer (ccHPS), which was developed and validated using tumor samples in TCGA-CESC and CGCI-HTMCP-CC cohorts based on LASSO Cox regression analysis. The data used in the developing process could be found in this link https://figshare.com/articles/dataset/Data_set_repositories/14999487.

ccHPS.R

calculate the ccHPS score for each input samples using gene expression matrix.

Usage:

Rscript ccHPS.R expression_input_file.txt

input The gene expression matrix file is fomated as genes in each column and samples in each row. The input genes should include all the nine genes involved in ccHPS model. An example format of expression_input_file.txt:

Screenshot 2021-07-19 181327

output an output file will be created with the ccHPS score of each sample.

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A prognostic risk model including nine hypoxia-related genes

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