NDLI: Define a function on gene order of DNA microarray data and use it to identify genes associated with Alzheimer's disease

Content Provider	IEEE Xplore Digital Library
Author	Ben-Qiong Hu Pei Shuai Zheng-chao Shan Chao-Yang Pang
Copyright Year	2011
Description	Author affiliation: Group of Gene Computation, College of Mathematics and Software Science, Sichuan Normal University, Chengdu, China (Pei Shuai; Zheng-chao Shan) \|\| Group of Gene Computation, Key Lab. of Visual, Computation and Virtual Reality of Sichuan Province, Chengdu, China (Chao-Yang Pang) \|\| College of Management Science, Chengdu University of Technology, Chengdu, China (Ben-Qiong Hu)
Abstract	Alzheimer's disease (AD) is the most ordinary kind of dementia. Identifying genes associated with AD is a new topic, and the key is to design algorithm to search AD genes. Gene order is a permutation of genes in which similar genes are ordered together. In this paper, a function is defined on gene order, and function value measures the similarity degree between a gene and its neighbors. Through the function value, the neighbors of a gene can be identified. The genes keeping as neighbor of AD gene (APOE, presenilins 1 or 2) at any stage (control, incipient, moderate, severe) are identified as the candidate of the gene associated with AD, where AD gene has been proved acting risk factor of AD. Experiment results of this paper have been proved some genes associated with AD.
Starting Page	836
Ending Page	839
File Size	205371
Page Count	4
File Format	PDF
ISBN	9781457703720
e-ISBN	9781457703713
DOI	10.1109/GRC.2011.6122708
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	APOE (presenilins 1 or 2) Gene Expression Heating Alzheimer's Disease DNA Vectors Gene expression Alzheimer's disease Gene Order
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

The framework of applying vertex coloring method to identify genes associated with Alzheimer's diseases basing on gene expression

Leveraging Tissue Specific Gene Expression Regulation to Identify Genes Associated with Alzheimer's Disease

The strong correlation of gene expression data on Alzheimer's disease and co-regulation of gene

The nonlinear correlation character of gene expression data on Alzheimer's disease and hierarchy clustering of co-regulated gene

ICA-based Gene Expression Modules Exploring for Alzheimer's Disease

The feature of resonance of gene expression and identification of the genes associated with Alzheimer's disease

Study DNA Microarray Gene Expression Data of Alzheimer's Disease by Independent Component Analysis

Mining gene expression regulatory network using independent component analysis

Using NMFAS to identify key biological pathways associated with human diseases

Define a function on gene order of DNA microarray data and use it to identify genes associated with Alzheimer's disease

Similar Documents

The framework of applying vertex coloring method to identify genes associated with Alzheimer's diseases basing on gene expression

Leveraging Tissue Specific Gene Expression Regulation to Identify Genes Associated with Alzheimer's Disease

The strong correlation of gene expression data on Alzheimer's disease and co-regulation of gene

The nonlinear correlation character of gene expression data on Alzheimer's disease and hierarchy clustering of co-regulated gene

ICA-based Gene Expression Modules Exploring for Alzheimer's Disease

The feature of resonance of gene expression and identification of the genes associated with Alzheimer's disease

Study DNA Microarray Gene Expression Data of Alzheimer's Disease by Independent Component Analysis

Mining gene expression regulatory network using independent component analysis

Using NMFAS to identify key biological pathways associated with human diseases

Define a function on gene order of DNA microarray data and use it to identify genes associated with Alzheimer's disease