NDLI: Identifying Genes with The Concept of Customization

Content Provider	IEEE Xplore Digital Library
Author	Dong Hua Dechang Chen Youssef, A.
Copyright Year	2005
Description	Author affiliation: George Washington University (Dong Hua)
Abstract	Gene selection with microarray data is an important task towards the study of genomics. The goal is to identify the optimal subset of genes such that maximum discrimination power across samples (e.g., tumor types) while minimum redundancy among genes are achieved. Essentially, it is NPcomplete. Approximation algorithms are usually solicited including individual ranking and sequential forward selection. Typically, from source input microarray data to output selected genes, multiple steps including preprocessing, discretization, discrimination modeling, redundancy modeling, optimization formularization, classification, and evaluation are involved in the presence of a number of options (techniques) for each of them. Putting them together, we form the concept of customization for gene selection in this paper, that is, configure the entire scenario such that various maybe trivial techniques can team work with superior performance rather than focus on certain technique within a single step (e.g., discrimination power modeling). One configuration following the principle of simplicity is constructed in this paper which identi?es genes effectively shown by experiments.
Starting Page	144
Ending Page	144
File Size	214665
Page Count	1
File Format	PDF
ISBN	0769523722
ISSN	10636919
DOI	10.1109/CVPR.2005.472
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Redundancy Data preprocessing Genomics Approximation algorithms Genetics Data mining Bioinformatics Neoplasms Cancer
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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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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