NDLI: Local Gene Network Pattern (LGNP) Approach to Tackle Mechanisms of Complicated Phenotypes

Content Provider	IEEE Xplore Digital Library
Author	Zhizhou Zhang Yun Wang Xiujin Wang Xiao Han Changjin Liu
Copyright Year	2008
Description	Author affiliation: Teda Bio-X Center for Syst. Biotechnol., Tianjin Univ. of Sci. & Technol., Tianjin (Zhizhou Zhang; Yun Wang; Xiujin Wang; Xiao Han; Changjin Liu)
Abstract	In the post-genome era, high-throughput technologies such as DNA microarray are generating large amount of functional data. But in face of lots of data, biologists still lack efficient ways to investigate complicated relations of multi-genes. In this study, hypertension related gene database and lab-made microarray data from peripheral blood samples of hypertension people and normal people were combined to postulate a collection of genes possibly sensitive to dietary intake of low-sodium salt, and a novel local gene network pattern (LGNP) approach was employed to directly describe possible connections among those most susceptible genes. LGNP display would be useful for primary analysis of gene network data aiming at multi-gene relationship for any biological phenotype.
Starting Page	306
Ending Page	309
File Size	529189
Page Count	4
File Format	PDF
ISBN	9781424417476
DOI	10.1109/ICBBE.2008.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hypertension Cellular networks Databases DNA Humans Biology computing Biomedical computing Labeling Bioinformatics Diseases
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

Schizophrenia Genes: Characteristics of Function and Protein Interaction Networks

A General Recurrent Neural Network Approach to Model Genetic Regulatory Networks

A computational approach to reconstructing gene regulatory networks

Comparative genomic workflow

Computing highly specific and mismatch tolerant oligomers efficiently

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

Identifying Hidden Confounders in Gene Networks by Bayesian Networks

Editing Bayesian Networks: A New Approach for Combining Prior Knowledge and Gene Expression Measurements for Researching Diseases

Network topological reordering revealing systemic patterns in yeast protein interaction networks

Local Gene Network Pattern (LGNP) Approach to Tackle Mechanisms of Complicated Phenotypes

Similar Documents

Schizophrenia Genes: Characteristics of Function and Protein Interaction Networks

A General Recurrent Neural Network Approach to Model Genetic Regulatory Networks

A computational approach to reconstructing gene regulatory networks

Comparative genomic workflow

Computing highly specific and mismatch tolerant oligomers efficiently

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

Identifying Hidden Confounders in Gene Networks by Bayesian Networks

Editing Bayesian Networks: A New Approach for Combining Prior Knowledge and Gene Expression Measurements for Researching Diseases

Network topological reordering revealing systemic patterns in yeast protein interaction networks

Local Gene Network Pattern (LGNP) Approach to Tackle Mechanisms of Complicated Phenotypes