NDLI: Pathway clusters of aging genes using data mining techniques

Content Provider	IEEE Xplore Digital Library
Author	Vidya, A. Kalaivani, M. Venugopal, K.R. Patnaik, L.M.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. Visvesvaraya, Bangalore, India (Vidya, A.; Kalaivani, M.; Venugopal, K.R.) \|\| Indian Inst. of Sci., Bangalore, India (Patnaik, L.M.)
Abstract	Exploring and identifying novel aging genes has been the current area of interest in Gerontology. A variety of techniques have been proposed to identify the genes that affect the centenarians and the focus is on the study of genes of interest affecting older population. However the study of aging related pathways using computational methods has not been discussed explicitly so far. In this paper, an attempt is made to cluster the aging genes into different biological pathways using data mining techniques. Text mining is used to identify the most relevant keywords from different pathway databases, which is used as one of the feature describing a gene. K-means clustering is done on the aging pathway dataset. The clusters formed are in good agreement with the background knowledge about the aging genes and their pathways. The quality of the K-means clustering is quite promising as it well separates the different aging genes into their respective pathways.
Starting Page	35
Ending Page	40
File Size	167726
Page Count	6
File Format	PDF
ISBN	9781479967575
e-ISBN	9781479967582
DOI	10.1109/ICCCT.2014.7001466
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins K-means Text mining Databases Clustering algorithms Aging Clusters Path-way Insulin Diseases Aging Genes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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