# DCE **Repository Path**: Tomhappy/DCE ## Basic Information - **Project Name**: DCE - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-08-09 - **Last Updated**: 2026-08-09 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Cite If you make use of this code in your own work, please cite our paper: ``` @inproceedings{DCE, title={Identification of Cancer Development Related Pathways Based on Co-Expression Analyses}, author={Hongyang Jiang, Zhihang Wang, Chaoyi Yin, Peishuo Sun, Ying Xu, and Huiyan Sun}, booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine}, year={2020} } ``` # step1 # the code is written by python, version=3.6.9 # calculate co-expression by Spearman # input data is in ./DCE_BIBM2020/dataset/ # output data in ./DCE_BIBM2020/cache/result_1to23/ will used in step2 and step3 cd ./DCE_BIBM2020/step1_calculate_Spearman nohup python3 -u -W ignore run_this.py -d='COAD' > _log_COAD.txt 2>&1 & nohup python3 -u -W ignore run_this.py -d='KIRC' > _log_KIRC.txt 2>&1 & nohup python3 -u -W ignore run_this.py -d='LUAD' > _log_LUAD.txt 2>&1 & nohup python3 -u -W ignore run_this.py -d='THCA' > _log_THCA.txt 2>&1 & # step2 # the code is written by python, version=3.6.9 # calculate the largest component and statistic some result of the network # input data is in ./DCE_BIBM2020/cache/result_1to23/ # output data in ./DCE_BIBM2020/cache/result_2to3/ will used in step3 # output data in ./DCE_BIBM2020/cache/result_2/ is some statistic of the network cd ./DCE_BIBM2020/step2_get_max_component nohup python3 -u -W ignore run_this.py > _log.txt 2>&1 & # step3 # the code is written by R, version=4.0.2 # input data is in ./DCE_BIBM2020/cache/result_2to3/ # output data in ./DCE_BIBM2020/cache/result_3/ cd ./DCE_BIBM2020/step3_analysis_BCCCDC/main nohup Rscript run_this.R > _log.txt 2>&1 &