NDLI: Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Daoud, M. Kremer, S.C.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Guelph Univ., Ont. (Daoud, M.; Kremer, S.C.)
Abstract	In this paper we proposed a novel algorithm to detect similarities and dissimilarities between any two given families of biological sequences using the steady state concept of a PCA-neural network. Traditionally, PCA is an encoding technique used to encode data embedded in a high dimensional space to a lower dimensional space under the condition that a minimum loss of information must be achieved. Training a PCA-neural network with two stationary multivariate stochastic processes sequentially may lead the PCA-neural network to converge to the same attractor point or to two different attractor points, and thus this valuable equilibrium property of the PCA neural network can be employed to solve the similarity detection problem empirically. The performance of the proposed algorithm shows robustness and accuracy in similarity/dissimilarity detection
Starting Page	1
Ending Page	7
File Size	418139
Page Count	7
File Format	PDF
ISBN	1424406234
DOI	10.1109/CIBCB.2006.330988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-28
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steady-state Sequences Spatial databases Biological information theory Neural networks Breast cancer Principal component analysis Computational Intelligence Society Detection algorithms Knowledge transfer
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
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
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