- The github repos consist of scripts to perform the analysis related to SelectSim paper.
- The contents of the repository is mentioned below.
├── analysis │ ├── catalogue │ │ └── notebook │ │ ├── catalouge_consistent.ipynb │ │ ├── dfci_merge_results.ipynb │ │ ├── dfci_runs.ipynb │ │ ├── merge_all_results.ipynb │ │ ├── msk_merge_results.ipynb │ │ ├── msk_runs.ipynb │ │ ├── tcga_merge_results.ipynb │ │ └── tcga_runs.ipynb │ ├── normal_mutation │ │ ├── notebook │ │ │ └── data_processing.ipynb │ │ └── run_selectSim.r │ ├── primary_met │ │ └── notebook │ │ ├── data_processing.ipynb │ │ ├── msk_p_m_enrichment.ipynb │ │ ├── msk_p_m_gene_frequency.ipynb │ │ └── msk_p_m_runs.ipynb │ ├── primary_met_elastic_net │ │ ├── EN_functions.r │ │ └── run_EN.r │ └── roubustness_benchmarking │ ├── coselens.r │ ├── notebook │ │ ├── cooccur.ipynb │ │ ├── Discover.ipynb │ │ ├── Discover_SelectSim.ipynb │ │ ├── GamTOC.ipynb │ │ ├── MCC.ipynb │ │ ├── mutational_load.ipynb │ │ ├── sampling_recovery.ipynb │ │ ├── select.ipynb │ │ ├── SelectSim.ipynb │ │ ├── tcga_robustness_analysis.ipynb │ │ └── WeSME_CO.ipynb │ └── time_analysis_berewire_simulation.r ├── data_processing │ └── notebook │ ├── genie_data_processing.ipynb │ ├── msk_dfci_gam_create.ipynb │ ├── msk_dfci_sample_filtering_annotation.ipynb │ └── tcga_gam_create.ipynb └── README.md
- The analysis folder consists of scripts (jupyter R-notebooks and .R script) files related to different analysis (catalogue, normal mutation, primary vs metastasis etc.)
- The data processing folder consists of scripts (jupyter R-notebooks) to process the data to generate the
SelectSim
algorithm input run objects.
- SelectSim algorithm is avilable from github.
- For any bugs or feature support in using SelectSim, please use the issue tracker.
- For any other question related to SelectSim, please contact Prof Giovanni Ciriello ([email protected]) or Arvind Iyer ([email protected]).