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
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.
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;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563825
