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Relative expression analysis for molecular cancer diagnosis and prognosis
James A. Eddy
,
Jaeyun Sung
, Donald Geman
, Nathan D. Price
Surgery
Research output
:
Contribution to journal
›
Review article
›
peer-review
82
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Scopus citations
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Dive into the research topics of 'Relative expression analysis for molecular cancer diagnosis and prognosis'. Together they form a unique fingerprint.
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Keyphrases
Cancer Diagnosis
100%
Cancer Prognosis
100%
Relative Expression Analysis
100%
Disease Phenotype
50%
Computational Methods
50%
K-TSP
50%
Disease Progression
25%
Human Cancer
25%
Clinical Outcome Prediction
25%
Metastasis
25%
Health Diseases
25%
Blood-borne
25%
Data Normalization
25%
Genetic Disease
25%
Human Pathology
25%
Molecular Diagnostics
25%
Leukocytes
25%
Transcriptomics
25%
Biomolecules
25%
Human Genetics
25%
Human Health
25%
High-throughput Data
25%
Disease Outcome
25%
Gene number
25%
Computational Tools
25%
Data Standards
25%
Microarray Data
25%
Accurate Classification
25%
Biological Analysis
25%
Biological Interpretation
25%
Disease Classification
25%
Biological Meaning
25%
Prediction Rule
25%
High-throughput Technologies
25%
Measure Data
25%
Gene Expression Microarray Data
25%
Data Parameters
25%
Statistical Learning Methods
25%
Cancer Subtypes
25%
Invariance
25%
Mathematical Prediction
25%
Parameter Fitting
25%
Relative Ordering
25%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Diseases
66%
Disease Exacerbation
16%
Genetic Disorder
16%
Gastrointestinal Stromal Tumor
16%
Biochemistry, Genetics and Molecular Biology
Expression Analysis
100%
Genetic Disorder
25%
DNA Microarray
25%
Leukocyte
25%
Transcriptomics
25%