DocumentCode
1934071
Title
Notice of Retraction
Differential Gene Expression Analysis for Diabetes with and without parental history
Author
Chandra Sekhar, V. ; Rao, A.A. ; Rao, Patri Sreehari
Author_Institution
SRKR Eng. Coll., Bhimavaram, India
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
322
Lastpage
326
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The prevalence of chronic diseases is increasing at an alarming rate. Among them the incidence of Type-2 Diabetes is rapidly increasing globally. Although genetics could play an important role in the higher prevalence of this disease, it is not clear how genetic factors interact with environmental and dietary factors to increase their incidence. In the current study, Gene Expression Analysis was performed to find out differentially expressed genes between Type-2 Diabetes with and without parental history. For this analysis Multivariate and Univariate outlier detection methods are used. This analysis helps in identifying the potential Candidate Genes causing Type-2 Diabetes.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The prevalence of chronic diseases is increasing at an alarming rate. Among them the incidence of Type-2 Diabetes is rapidly increasing globally. Although genetics could play an important role in the higher prevalence of this disease, it is not clear how genetic factors interact with environmental and dietary factors to increase their incidence. In the current study, Gene Expression Analysis was performed to find out differentially expressed genes between Type-2 Diabetes with and without parental history. For this analysis Multivariate and Univariate outlier detection methods are used. This analysis helps in identifying the potential Candidate Genes causing Type-2 Diabetes.
Keywords
diseases; genetics; medical computing; chronic diseases; dietary factors; differential gene expression analysis; environmental factors; multivariate outlier detection method; parental history; type-2 diabetes; univariate outlier detection method; Biomedical optical imaging; Genetics; History; Lead; Optical sensors; Mehalanobis Distance; Minimum Covariance Determinent; Parental history; Type-2 Diabetes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563825
Filename
5563825
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