NDLI: Patient response datasets: Challenges and opportunities

Content Provider	IEEE Xplore Digital Library
Author	Wald, R. Khoshgoftaar, T.M.
Copyright Year	2013
Description	Author affiliation: Florida Atlantic Univ., Boca Raton, FL, USA (Wald, R.; Khoshgoftaar, T.M.)
Abstract	As the field of bioinformatics has grown in importance, more and more studies have investigated the use of gene microarray datasets to understand cancer. Although much of this research has focused on which genes are differently-expressed between cancerous and non-cancerous tissues, an equally important question is which genes are most useful for predicting the success of cancer treatment. How well a patient will respond to a given treatment depends on the specifics of their cancer, and biopsies alone cannot detect genetic markers; thus, gene chips are an increasingly valuable research tool in this field. The problem of identifying which gene markers are predictive of successful response to treatment differs from more general cancer-identification and cancer-classification problems due to the expected similarities among all patients (since they share a cancer type), and thus it is important to understand this collection of datasets as a group separate from other cancer-related microarray datasets. The present work surveys research using gene microarray datasets for the task of patient response prediction, in particular research which uses this data to discover the best genes for predicting patient response. We discuss the methods and procedures of the surveyed papers and which approaches were used for gene selection, and present ideas and strategies for future work which further explores how to best identify gene signatures which can be used clinically to help select the best treatment for a given cancer.
Starting Page	254
Ending Page	261
File Size	117635
Page Count	8
File Format	PDF
ISBN	9781479910502
DOI	10.1109/IRI.2013.6642480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cancer Tumors Probes Accuracy Sensitivity Training Surgery patient response gene microarray feature selection cancer
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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