Method designed to respect molecular heterogeneity can profoundly correct present data interpretations for genome-wide expression analysis

Keyphrases

• Statistical Methods 100%
• Genome-wide Expression 100%
• Data Interpretation 100%
• Molecular Heterogeneity 100%
• Enhanced Sensitivity 33%
• T-test 33%
• Existing Data 33%
• Information Extraction 33%
• Medical Applications 33%
• Biological Properties 33%
• Molecular Mechanism 33%
• Parkinson's Disease 33%
• Biological Processes 33%
• Biological Data 33%
• Mathematical Description 33%
• Schizophrenia 33%
• System Understanding 33%
• Expression Data 33%
• Bipolar Disorder 33%
• Diagnostic Biomarker 33%
• Methodological Issues 33%
• Expression Study 33%
• Disease Signature 33%
• Heterogeneous Disease 33%
• Diagnostic Drug 33%
• Biological Inference 33%
• Drug Response Prediction 33%
• Biomarker Prediction 33%

Biochemistry, Genetics and Molecular Biology

• Expression Analysis 100%
• Biological Phenomena and Functions Concerning the Entire Organism 50%
• Diagnostic Biomarker 50%