This repository presents all analyses done for the paper "Discrete growth and survival phenotypes link to apoptotic mechanism and drug response in breast cancer." ASSIGN
folder describes pathway prediction generation in cell lines and in patient samples.GFRN_characterization_in_breast_cancer_Final.Rmd
script has code for all the results described in the paper.
You will need the following datasets for running the GFRN_characterization_in_breast_cancer_Final.Rmd
script:
- ICBP breast cancer cell line gene expression dataset: icbp_Rsubread_tpmlog.txt
- ICBP breast cancer cell line drug response dataset: ICBP_drugs.txt
- TCGA cancer tumor gene expression dataset: GSM1536837_06_01_15_TCGA_24.tumor_Rsubread_TPM.txt.gz
- TCGA PAM50 classification of tumor samples: BRCA.547.PAM50.SigClust.Subtypes.txt
- TCGA clinical dataset: GSE62944_06_01_15_TCGA_24_548_Clinical_Variables_9264_Samples.txt.gz
- ICBP cell line single pathway optimized predictionL:optimized_single_pathway_icbp.txt (in
Datasets
downloadable directory below) - TCGA cell line single pathway optimized prediction: optimized_single_pathway_tcga.txt (in
Datasets
downloadable directory below) - Drug response assay: Drug_response_assay.txt (in
Datasets
downloadable directory below) - Gene Expression Data for GFRN Signatures (AKT, BAD, HER2, IGF1R, and RAF): [GSE83083_GFP18_AKT_BAD_HER2_IGF1R_RAF_GFP30_KRAS-G12V_tpmlog.txt.gz] (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=avanmkmqrnmrdwn&acc=GSE83083)
- Gene Expression Data for GFRN Signatures (EGFR): GSE59765_RAW.tar
To download all the required files click Datasets.
- gplots
- RColorBrewer
- data.table
- mclust
- ggplot2
- gridExtra
- ComplexHeatmap
- Cluster
Key_ASSIGN_functions_balancedsig.R
- This file is available in this repository.