A novel regulatory event-based gene set analysis method for exploring global functional changes in heterogeneous genomic data sets

Keyphrases

• Functional Change 100%
• Genomic Data 100%
• Event-based 100%
• Gene Analysis 100%
• Regulatory Event 100%
• Heterogeneous Samples 60%
• Gene Set 40%
• OR Genes 20%
• Gene Regulation 20%
• Genotype-phenotype Correlation 20%
• Tumor 20%
• Microarray Analysis 20%
• Limit of Detection 20%
• Functional Traits 20%
• Microarray Data 20%
• Gene Expression Data 20%
• Highly Heterogeneous 20%
• Detection Power 20%
• Gene-gene 20%
• Biological Interpretation 20%
• Hepatocarcinogenesis 20%
• Functional Potential 20%
• Early HCC 20%
• Early Hepatocellular Carcinoma 20%
• Set-based Approach 20%
• Gene Lists 20%
• Event Frequency 20%
• Gene Phenotype 20%

Biochemistry, Genetics and Molecular Biology

• Microarrays 100%
• Genomics 100%
• Gene Expression Data 50%
• Gene Control 50%

Neuroscience

• Microarrays 100%
• Gene Expression 50%
• Gene Control 50%