Diverse high throughput genomic data is available in public domain. However, no single source data analysis technique is available even today which can fully reveal the function of genes. Therefore fusion of multiple data source using Bayesian algorithm is proposed here for prediction of genes. Amino acids sequence of proastate, colon, breast, gastric genes from National Health Informatics site are taken as source data for prediction. The spectrum of genes is fused successfully using Bayesian algorithm to screen out cancer gene from healthy gene and validated the approach with the existing DSP based prediction method.

1. D. Anastassiou. , "Genomic Signal Processing. " IEEE Signal Processing Magazine (2001); pp. 8-20.
2. P. P Vaidyanathan,. and B. J. Yoon, "The role of signal-processing concepts in genomics and proteomics," Journal of the Franklin Institute, 341. 1(2004); pp. 111-135.
3. S. Saha and S. Barman(Mandal), "Digital filtering of Amino acid sequence for prediction of cancer cell", 2nd Annual International Conference on Electronics Engg. & Computer Science(IEMCON 2012).
4. A. Ghosh, and S. Barman. "Prediction of Prostate Cancer Cells based on Principal Component Analysis Technique. "Procedia Technology vol. 10 (2013); pp. 37-44.
5. S. Barman(Mandal), S. Saha, A. Mandaland M. Roy, "Signal Processing Techniques for the analysis of Human Genome associated with cancer cells", International Conference on Electronics Engg. & Computer Science(IEMCON2011) Organized in collaboration with IEEE, INDIA, pp. 570-573
6. M. Roy and S. Barman (Mandal),"Application of Principal Component-Minimum Variance Technique in Gene Prediction", Review of Applied Physics Vol. 2 Iss. 4(2013); pp. 106-113
7. X. Dai,O. Yli-Harja and H. Lahdesmaki, "Novel Data Fusion Method and Exploration of Multiple Information Sources for Transcription Factor Target Gene Prediction", EURASIP Journal on Advances in Signal Processing, Volume 2010, Article ID 235795
8. A. Ross and A. Jain, "Information fusion in biometrics", Pattern Recognition Letters 24 (2003) 2115–2125, Elsevier Science
9. H. Liu, D. Yue, L. Zhang, Y. Chen, S. J. Gao and Y. Huang, "A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling", International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS), Shanghai, China. 3-8 August 2009
10. I. M. EI-Badawy, A. M. Aziz, S. Gasser and M. E. Khedr, "A New Multiple Classifiers Soft Decisions Fusion Approach for Exons Prediction in DNA Sequences", IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2013
11. M. Raza, I. Gondal, D. Green, and R. L. Coppel, "Fusion of FNA-cytology and Gene-expression Data Using Dempster-Shafer Theory of Evidence to Predict Breast Cancer Tumors", Bioinformation 1. 5 (2006): 170
12. P. Ray, L. Zheng, J. Lucas and L. Carin, "Bayesian joint analysis of heterogeneous genomics data", Bioinformatics, Vol. 30 no. 10 2014, pages 1370–1376
13. S. Barman (Mandal), M. Roy, S. Biswas and S. Saha, "Prediction of Cancer Cell using Digital Signal Processing", Annals of Faculty Engineering Hunedoara (International Journal of Engineering) , ISSN 1584-2673 (2001).
14. E. R. Dougherty, A. Datta, and C. Sima, "Research Issues in Genomic Signal Processing", IEEE Signal Processing Magazine, November (2005):pp. 46-68
15. T. Seok Jin, J. Myung Lee and S. K. Tso, "A new approach using sensor data fusion for mobile robot navigation," Int. Journal Robotica vol. 22(2004); pp. 51–59
16. M. Kumar, D. P. Garg, and Randy A. Zachery, "A Method for Judicious Fusion of Inconsistent Multiple Sensor Data," in IEEE Sensors Journal,Vol. 7, no. 5,( 2007)
17. J. Z. Sasiadek, "Sensor Fusion", Annual Reviews in Control 26 (2002), Elsevier Science,pp. 203-228
18. Thrun, Burgard,"Probabilistic Robotics", Fox, MIT Press, Cambridge.
19. National Centre for Biotechnology Information (NCBI). (http://www. ncbi. nlm. nih)
20. S. Achuthsankar Nair and S. Pillai Sreenadhan, "A coding measure scheme employing electron-ion interaction pseudopotential (EIIP)", ISSN 0973-2063, Bioinformation 1(6): pp. 197-202

Dft Bayesian Fusion Technique Cancer Gene Disease Diagnosis Amino Acid