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Bayesian Fusion in Cancer Gene Prediction

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IJCA Proceedings on International Conference on Computing, Communication and Sensor Network
© 2015 by IJCA Journal
CCSN 2014 - Number 1
Year of Publication: 2015
Authors:
J Das
S Barman

J Das and S Barman. Article: Bayesian Fusion in Cancer Gene Prediction. IJCA Proceedings on International Conference on Computing, Communication and Sensor Network CCSN 2014(1):5-10, June 2015. Full text available. BibTeX

@article{key:article,
	author = {J Das and S Barman},
	title = {Article: Bayesian Fusion in Cancer Gene Prediction},
	journal = {IJCA Proceedings on International Conference on Computing, Communication and Sensor Network},
	year = {2015},
	volume = {CCSN 2014},
	number = {1},
	pages = {5-10},
	month = {June},
	note = {Full text available}
}

Abstract

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.

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