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Reseach Article

Bayesian Fusion in Cancer Gene Prediction

Published on June 2015 by J Das, S Barman
International Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN2014 - Number 1
June 2015
Authors: J Das, S Barman
18627d00-16d2-4793-9ec8-49b3d2766240

J Das, S Barman . Bayesian Fusion in Cancer Gene Prediction. International Conference on Computing, Communication and Sensor Network. CCSN2014, 1 (June 2015), 5-10.

@article{
author = { J Das, S Barman },
title = { Bayesian Fusion in Cancer Gene Prediction },
journal = { International Conference on Computing, Communication and Sensor Network },
issue_date = { June 2015 },
volume = { CCSN2014 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 5-10 },
numpages = 6,
url = { /proceedings/ccsn2014/number1/21416-5002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing, Communication and Sensor Network
%A J Das
%A S Barman
%T Bayesian Fusion in Cancer Gene Prediction
%J International Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN2014
%N 1
%P 5-10
%D 2015
%I International Journal of Computer Applications
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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Index Terms

Computer Science
Information Sciences

Keywords

Dft Bayesian Fusion Technique Cancer Gene Disease Diagnosis Amino Acid