De Novo and Supervised Endophenotyping Using Network-Guided Ensemble Learning

Keyphrases

• Endophenotype 100%
• Ensemble Learning 100%
• Gene Module 100%
• Differentially Expressed Genes 50%
• Patient Subgroups 50%
• Unsupervised Method 50%
• Clinically Significant 25%
• Omics 25%
• Supervised Methods 25%
• Network Data 25%
• Differential Expression 25%
• Disease Prognosis 25%
• Disease Diagnosis 25%
• Lung Cancer Patients 25%
• Random Forest 25%
• Unlabeled Data 25%
• Disease Genes 25%
• Precision Medicine 25%
• Driving Genes 25%
• Gene Expression Analysis 25%
• Disease Phenotype 25%
• Translational Success 25%
• State-of-the-art Techniques 25%
• Biologically Relevant 25%
• Relevant Genes 25%
• Molecular Subgroups 25%
• Accurate Identification 25%
• Network Topology 25%
• Molecular Interaction Networks 25%
• Single-omics 25%
• Ensemble Learning Method 25%
• Disease Module 25%
• Module Discovery 25%
• Biomedical Relevance 25%
• Further Analysis 25%
• Disease-related 25%
• Gene Signature 25%
• Transcriptomic Data 25%
• Omics Analysis 25%
• Four States 25%
• Network-based Methods 25%

INIS

• learning 100%
• genes 100%
• forests 54%
• diseases 45%
• data 27%
• patients 27%
• interactions 18%
• lungs 9%
• cancer 9%
• applications 9%
• comparative evaluations 9%
• density 9%
• phenotype 9%
• precision 9%
• randomness 9%
• medicine 9%
• topology 9%
• experimental data 9%

Biochemistry, Genetics and Molecular Biology

• Tamsulosin 100%
• Molecular Interaction 50%
• Gene Expression Profiling 50%
• Transcriptome 50%
• Gene Signature 50%
• Random Forest 50%
• Endophenotype 50%