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Interpretation of Genomic Data: Questions and Answers Richard Simon Using a question and answer format we describe important aspects of using genomic technologies in cancer research. The main challenges are not managing
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Document Date: 2013-03-12 10:01:34

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Boca Raton / Belmont / New York / Bethesda / /

Company

Tomkins / Wadsworth International Group / Elsevier Inc. / Lusa / Cox / Greenberg SA / /

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Facility

Rockville Pike / National Cancer Institute / /

IndustryTerm

software engineering / experimental systems / genome-wide technology / then software tools / protein products / cancer therapeutics / variable selection algorithms / software package / microarray data mining / prognostic tool / medical applications / statistical tools / Cluster analysis algorithms / given anatomical site / defined algorithm / genomic technologies / genomic technology / information technology / treatment of HER2-negative breast cancer / classification algorithms / /

MedicalCondition

JE / estrogen receptor-positive breast cancer / early breast cancer / tamoxifen-treated / node-negative breast cancer / J Cancer / breast tumor / breast cancer / tumor / individual tumors / cancer / tumors / disease / HER2-negative breast cancer / basic and clinical cancer / HER2positive breast cancer / objective tumor / /

MedicalTreatment

adjuvant chemotherapy / chemoprevention / chemotherapy / cancer therapeutics / /

Organization

National Cancer Institute / Broad Institute / Stat Assoc / /

Person

John Ioannidis / Dobbin / Dupuy / Richard Simon / /

Position

Acknowledgment The author / author / representative / /

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R / K / MJT / L / J / /

ProvinceOrState

Maryland / New York / Florida / California / /

RadioStation

Molinaro AM / Michalowska AM / /

Technology

genomics / radiation / genome-wide technology / Bioinformatics / gene amplification / information technology / diagnostic tests / hybridization / genotyping / Genomic technologies / completely defined algorithm / DNA Chip / gene expression / chemotherapy / classification algorithms / data mining / Cluster analysis algorithms / SNP / variable selection algorithms / drug development / Gui / /

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