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Rank discriminants for predicting phenotypes from RNA expression
Bahman Afsari
, Ulisses M. Braga-Neto
, Donald Geman
Research output
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Contribution to journal
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Article
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peer-review
17
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Keyphrases
Gene Expression Data
100%
Clinical Application
100%
Human Cancer
100%
Accuracy Improvement
100%
Multiple Comparisons
100%
RNA Expression
100%
Statistical Methods
100%
Biological Mechanisms
100%
Biological Knowledge
100%
Basic Building Block
100%
Binary Classification
100%
Computational Biology
100%
Complex Method
100%
Discriminant Function
100%
Phenotype Prediction
100%
Statistical Learning
100%
Rule-based
100%
Mechanistic Interpretation
100%
Class Heterogeneity
100%
Biomolecular Data
100%
Comprehensive Experiment
100%
Data-driven Selection
100%
Cancer-associated
100%
Treatment Outcome Prediction
100%
In-context
100%
Genes Comparison
100%
Predicted Phenotypes
100%
Computer Science
Gene Expression Data
100%
Clinical Outcome
100%
Clinical Application
100%
Discriminant Function
100%
Multiple Comparison
100%
Basic Building Block
100%
Comparison Expression
100%
Binary Classification
100%
Biochemistry, Genetics and Molecular Biology
RNA
100%
Gene Expression
100%
Gene Expression Data
100%
Mathematics
Decision Rule
100%
Biological Mechanism
33%
Statistical Method
33%
Binary Classification
33%
Multiple Comparison
33%
Building Block
33%