NDLI: Classification Network of Gastric Cancer Construction based on Genetic Algorithms and Bayesian Network

Content Provider	IEEE Xplore Digital Library
Author	Li, J.-G. He, Y.-H. Guo, Q.-L.
Copyright Year	2012
Description	Author affiliation: Institute of Artificial Intelligence and Robots, BeiJing University of Technology, Chaoyang District, China (Li, J.-G.; He, Y.-H.; Guo, Q.-L.)
Abstract	One of the most important link in improves diagnostic accuracy and disease cure rate is accurate classification of disease. The current gene chip's development and widely applications making the diagnosis based on tumor gene expression profiling expected to be on a fast and effective clinical diagnostic method. But the sample of gene is small and the expression data is multi-variable. In this article, we uses three data sets on gene expression profiles of gastric cancer for the construction of classification model, First, screened the gene which significantly changed in expression pattern, and use these genes as a set of the feature to reduce the number of variables, and then using genetic algorithms and bayesian network model to build the classifier, the build process uses these three gene expression data to learn classifier. Classification accuracy is calculated by leave-one cross-validation (LOOCV) and it reached 99.8%. Last we use the GO and pathway to analysis the classifier's network structure.
Starting Page	4676
Ending Page	4681
File Size	266221
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6359364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cancer Genetic algorithms Gene expression Biomembranes Proteins Bayesian methods Accuracy Classification Gastric Cancer genetic algorithms Bayesian
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cancer classification with incremental gene selection based on DNA microarray data

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression

Inference of Large-Scale Gene Regulatory Networks Using GA-Based Bayesian Network and Biological Knowledge

Research on Bayesian Network Adaptive Knowledge Construction and Inference Based on Genetic Algorithm

Distributed Bayesian network structure learning

Bayesian regularized neural network for multiple gene expression pattern classification

An integrated network motif based approach to identify colorectal cancer related genes

A review of feature selection techniques via gene expression profiles

The research on diagnosis by mammography basing on Bayesian Classification

Classification Network of Gastric Cancer Construction based on Genetic Algorithms and Bayesian Network

Similar Documents

Cancer classification with incremental gene selection based on DNA microarray data

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression

Inference of Large-Scale Gene Regulatory Networks Using GA-Based Bayesian Network and Biological Knowledge

Research on Bayesian Network Adaptive Knowledge Construction and Inference Based on Genetic Algorithm

Distributed Bayesian network structure learning

Bayesian regularized neural network for multiple gene expression pattern classification

An integrated network motif based approach to identify colorectal cancer related genes

A review of feature selection techniques via gene expression profiles

The research on diagnosis by mammography basing on Bayesian Classification

Classification Network of Gastric Cancer Construction based on Genetic Algorithms and Bayesian Network