From: Predicting breast cancer using an expression values weighted clinical classifier
Case study | # Samples | # Genes | # Clinical variables | |
---|---|---|---|---|
 | Class 1 | Class2 |  |  |
Case I | 85 | 25 | 5000 | Age, Ethnicity, ER status, PR status, Radiation treatment, Chemotherapy, |
 |  |  |  | Hormonal therapy, Nodal status, Metastasis, Tumor stage, |
 |  |  |  | Tumor size, Tumor grade. |
Case II | 33 | 96 | 6000 | Age, Ethnicity, pretreatment tumor stage, nodal status, |
 |  |  |  | nuclear grade, ER status, PR status, HER2 status. |
Case III | 112 | 65 | 5000 | Age, Tumor size, Nodal status, ER status, Tamoxifen treatment. |
Case IV | 46 | 51 | 12192 | Age, Tumor size, Grade, Erp, Angioinvasion, Lymphocytic Infiltrate, PRp. |
Case V | 58 | 193 | 20055 | Age, Tumor size, Grade, ER, Prp, Lymph node. |