BRCA1- and BRCA2- mutation associated transcriptome landscapes in breast and ovarian cancers: ml-SOM results

This is the submission accompanying raw result files for multiple-layer SOM (ml-SOM) analysis for the paper  "Transcriptome patterns of BRCA1- and BRCA2- mutated breast and ovarian cancers".

The dataset contains the results of the ml-SOM analysis of RNA-sequencing data from TCGA-OV (ovarian cancer) and TCGA-BRCA (breast cancer) projects. 

The dataset is organized as follows:

• Folder "12.BC.40 - Results" - ml-SOM analysis of TCGA-BRCA (breast cancer) dataset
• Folder "12.OV.40 - Results" - ml-SOM analysis of TCGA-OV (ovarian cancer) dataset
• File "12.BC.40.RData" - R data file that contains ml-SOM environment for breast cancer
• File "12.OV.40.RData" - R data file that contains ml-SOM environment for breast cancer

For detailed instructions on browsing the results and their interpretation please refer to the oposSOM package manual [1], as well as original publications [2-4]. 

References

1. Henry Loeffler-Wirth, Hoang Thanh Le and Martin Kalcheropos. SOM.Comprehensive analysis of transcriptome data. DOI: 10.18129/B9.bioc.oposSOM 
2. Löffler-Wirth H, Kalcher M, Binder H. oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on Bioconductor. Bioinformatics. 2015 Oct 1;31(19):3225-7. DOI: 10.1093/bioinformatics/btv342. Epub 2015 Jun 10.
3. Wirth H, von Bergen M, Binder H. Mining SOM expression portraits: feature selection and integrating concepts of molecular function. BioData Min. 2012 Oct 8;5(1):18. DOI: 10.1186/1756-0381-5-18.
4. Wirth H, Löffler M, von Bergen M, Binder H. Expression cartography of human tissues using self-organizing maps. BMC Bioinformatics. 2011 Jul 27;12:306. DOI: 10.1186/1471-2105-12-306.