NDLI: GNAS: A Tool for Analyzing Performance of Gene Networks Generated from Bayesian Network Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Chen, A.H. Ching-Heng Lin
Copyright Year	2007
Description	Author affiliation: Tzu-Chi Univ., Hualien (Chen, A.H.)
Abstract	The completion of Human Genome Project has been recognized as a great achievement in biomedical study; it not only provides information regarding human genes but also provides a new way to study human diseases such as cancers. How to analyze and interpret the results from massive amounts of gene expression profiles generated from high-throughput techniques such as microarray experiments has become a major challenge in the post-genomic research era. In this paper, we present a gene network analysis system (GNAS) that can not only generate gene networks of yeast cell cycle from experimental microarray data but can also compare the performance of gene networks using five different Bayesian network algorithms. The system utilizes both powerful MatLab processing ability and LabVIEW dynamic interfaces in a single platform. The gene networks of the yeast cell cycle were constructed based on five Bayesian network algorithms from four different microarrays of experimental data. Performance, such as computer time, sensitivity, and precision, was compared for these five algorithms. To our knowledge, this is the first design approach of its kind to be used in the study of gene networks.
Starting Page	78
Ending Page	84
File Size	1782716
Page Count	7
File Format	PDF
ISBN	9780769530154
ISSN	10823409
DOI	10.1109/ICTAI.2007.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Algorithm design and analysis Bayesian methods Humans Fungi Genomics Bioinformatics Diseases Cancer Gene expression
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

GNAnalyzer: A Novel System for Analyzing Gene Networks from Microarray Data with Bayesian Networks

A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks

Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks

A Bayesian network based algorithm for gene regulatory network reconstruction

Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression

Identifying Hidden Confounders in Gene Networks by Bayesian Networks

A 2-Stage Approach for Inferring Gene Regulatory Networks Using Dynamic Bayesian Networks

A Bayesian Approach for Uncovering Gene Network Motifs

Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network

GNAS: A Tool for Analyzing Performance of Gene Networks Generated from Bayesian Network Algorithms

Similar Documents

GNAnalyzer: A Novel System for Analyzing Gene Networks from Microarray Data with Bayesian Networks

A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks

Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks

A Bayesian network based algorithm for gene regulatory network reconstruction

Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression

Identifying Hidden Confounders in Gene Networks by Bayesian Networks

A 2-Stage Approach for Inferring Gene Regulatory Networks Using Dynamic Bayesian Networks

A Bayesian Approach for Uncovering Gene Network Motifs

Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network

GNAS: A Tool for Analyzing Performance of Gene Networks Generated from Bayesian Network Algorithms