Analysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis

Keyphrases

• Discriminant Analysis 100%
• Breast Cancer 100%
• Microarray 100%
• African American 100%
• Estrogen Receptor-positive 100%
• Classification Accuracy 66%
• Negative Samples 66%
• African American Patients 66%
• Patients with Breast Cancer 66%
• Small Sample Size 33%
• Microarray Data 33%
• Classification Methods 33%
• Cancer Treatment 33%
• Disease Etiology 33%
• Breast Tumor 33%
• Ethnic Minorities 33%
• Biological Relevance 33%
• Cancer Diagnosis 33%
• High Mortality Rate 33%
• Mining Method 33%
• Pathway Mapping 33%
• African American Population 33%
• Caucasian Women 33%
• Subset Analysis 33%
• Estrogen Receptor Status 33%
• Literature Mining 33%
• Cancer Prevention 33%
• Caucasian Population 33%

Medicine and Dentistry

• Breast Cancer 100%
• Discriminant Analysis 100%
• Estrogen Receptor 66%
• Diseases 16%
• Neoplasm 16%
• Cancer Therapy 16%
• Cancer Diagnosis 16%
• Mortality Rate 16%
• Cancer Prevention 16%

Biochemistry, Genetics and Molecular Biology

• Estrogen Receptor 100%
• Genomics 25%
• Sample Size 25%
• Mortality Rate 25%