Identification of Epigenetic Biomarkers with the use of
Gene Expression and DNA Methylation for Breast Cancer Subtypes

Indrajit Saha1,+,*, Somnath Rakshit2,+, Michal Wlasnowolski3,+, and Dariusz Plewczynski1,3,*


1Department of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata, India
2Centre of New Technologies, University of Warsaw, Poland
3Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
*Correspondence should be addressed to indrajit@nitttrkol.ac.in
+These authors contributed equally to this work



Supplementary


Supplementary

datasets


      Breast Cancer Subtypes       Clinical       Gene Expression Data                miRNA Expression Daata       DNA Mathylation
      LA: Luminal A       LB: Luminal B                HER2       BL: Basal-like       Normal

code


The algorithm is implemented in MATLAB. The code is available in zipped form here. Use of algorithm is free as long as it is used for any academic and non-commercial purpose. If you use these algorithms, please cite the following reference:

I. Saha, S. Rakshit, M. Wlasnowolski and D. Plewczynski, "Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes", submitted to IEEE Region 10 Conference TENCON (2019).

For any query regarding the algorithms, please mail to indrajit@nitttrkol.ac.in