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This page is made up for results replication of "Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer types"

Workflow

Workflow

Data Description

paired_normal_Expr.tsv : RNA-Seq (FPKM-UQ) data for tumor adjacent normal tissues.
paired_tumor_Expr.tsv : RNA-Seq (FPKM-UQ) data for tumor normal tissues for patients who had adjacent normal tissue data.
DEG_expr_ratio.tsv : Log fold values for differentially expressed genes (DEGs). Expression values of the individual's own normal tissue were used
ratio_by_mean_DEGs.tsv : Log fold values for DEGs. Medain expression values of patients' normal tissues were used
surv_df.tsv : Survival times and events

Usage example

pip install -r requirements.txt
cd src_python
python NN.py -c KIRC -i paired_normal_Expr.tsv
python SSVM.py -c KIRC -i paired_normal_Expr.tsv 
python NN.py -c KIRC -i screening/paired_normal_Expr_screen_byRECA.tsv -d 1000

ICGC dataset for screening (RECA-EU, LIRI-JP)

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