Survival Analysis with the Integration of RNA-Seq and Clinical Data to
Identify Breast Cancer Subtype specific Genes
Indrajit Saha1,+,*,Somnath Rakshit2,3,+, Michal Denkiewicz2,4,+, Jnanendra Prasad Sarkar5,6,
Debasree Maity7, Ujjwal Maulik6 and Dariusz Plewczynski2,4,*
1Department of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata, India 2Laboratory of Functional and Structural Genomics, Center of New Technologies,University of Warsaw, Warsaw, Poland 3School of Information, The University of Texas at Austin, Austin, USA 4Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland 5Larsen & Toubro Infotech Ltd., Pune, India 6Department of Computer Science and Engineering, Jadavpur University, Kolkata, India 7MCKV Institute of Engineering, Liluah, Howrah, India *Correspondence should be addressed to indrajit@nitttrkol.ac.in +These authors contributed equally to this work
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The algorithm and codes are implemented in using MATLAB and Python. 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 codes, please cite the following reference: I. Saha, S. Rakshit, M. Denkiewicz, J. P. Sarkar, D. Maity, U. Maulik and D. Plewczynski, "Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype specific Genes", Accepted to 8th International Conference on Pattern Recognition and Machine Intelligence (2019). For any query regarding the algorithms, please mail to indrajit@nitttrkol.ac.in |