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Decision trees / Statistics / Gene expression / Bioinformatics / Random forest / Decision tree learning / DNA microarray / Gene expression profiling / Feature selection / Biology / Machine learning / Microarrays


A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia
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Document Date: 2013-01-16 21:22:04

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File Size: 337,63 KB

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City

Belmont / Cairns / New York / Philadelphia / /

Company

G. Song S. A. / Affymetrix / New England Journal / BCART 0 / /

Country

United States / Australia / /

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Event

FDA Phase / /

Facility

Telethon Institute / University of Western Australia / /

IndustryTerm

clinical applications / model search / few real applications / stochastic search algorithm / microarray chip / stochastic search algorithms / non-user friendly software / supervised decision-tree based algorithm / microarrays technologies / few real-world applications / larger non-relapse / chemotherapy protocol / /

MedicalCondition

lymphocytic leukemia / leukaemia research / pediatric acute lymphoblastic leukemia / childhood leukaemia / leukaemia / cancer / paediatric pre-B acute lymphoblastic leukaemia / T-lineage acute lymphoblastic leukemia / lymphoblastic leukaemia / acute lymphoblastic leukemia / BMC Cancer / T-ALL / /

MedicalTreatment

chemotherapy / /

NaturalFeature

Random Forest / /

Organization

American Statistical Association / University of Western Australia / Telethon Institute for Child Health Research / Centre for Child Health Research / Congress / /

Person

H. de Klerk / DíazUriarte de Andrés / Díaz-Uriarte de Andrés / Alvarez de Andrés / L. Robertson / C. Bower / J. R. Thompson / /

Position

author / /

Product

COG-1961 / /

ProvinceOrState

Western Australia / California / New Hampshire / /

PublishedMedium

Machine Learning / Lippincott Williams & Wilkins / New England Journal of Medicine / Journal of the American Statistical Association / /

Region

New England / Western Australia / /

Technology

alpha / Bioinformatics / av / Bayesian CART algorithm / microarrays technologies / Machine Learning / human genome / artificial intelligence / DNA Chip / gene expression / supervised decision-tree based algorithm / COG-1961 chemotherapy protocol / stochastic search algorithms / stochastic search algorithm / /

URL

http /

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