Incorporating gene functions into regression analysis of DNA-protein binding data and gene expression data to construct transcriptional networks

Mathematics

• DNA-binding Protein 100%
• Gene Expression Data 66%
• Regression Analysis 50%
• Gene 49%
• Shrinkage 28%
• Transcription Factor 26%
• Gene Ontology 14%
• Annotation 11%
• Yeast 11%
• Hierarchical Structure 10%
• Regulator 9%
• Linear Regression Model 8%
• Clustering 7%
• Scenarios 7%
• Regression Model 6%
• Regression 6%
• Simulation 5%
• Alternatives 5%

Engineering & Materials Science

• Protein Binding 81%
• Gene expression 54%
• DNA 51%
• Regression analysis 51%
• Genes 47%
• Transcription factors 20%
• Yeast 8%
• Linear regression 7%
• Ontology 6%

Medicine & Life Sciences

• DNA-Binding Proteins 56%
• Gene Regulatory Networks 54%
• Regression Analysis 33%
• Gene Expression 30%
• Genes 20%
• Linear Models 15%
• Transcription Factors 15%
• Molecular Sequence Annotation 13%
• Gene Ontology 11%
• Cluster Analysis 9%
• Yeasts 8%
• Datasets 7%