Support vector machine model applied to BLs and DLBCLs to discriminate eBL and HIV-BL from DLBCL cases
| Identifier . | Disease . | Confidence measure . |
|---|---|---|
| BL_001_SI.CEL | BL | 0.9257281 |
| BL_002_SI.CEL | BL | 0.71880513 |
| BL_003_SI.CEL | BL | 0.7978547 |
| BL_004_SI.CEL | BL | 0.8448915 |
| BL_005_SI.CEL | BL | 0.8881669 |
| BL_006_SI.CEL | BL | 0.95476633 |
| BL_007_SI.CEL | BL | 0.73522216 |
| BL_008_SI.CEL | BL | 0.78618616 |
| BL_009_SI.CEL | BL | 0.796209 |
| BL_010_SI.CEL | BL | 0.7188346 |
| BL_011_SI.CEL | BL | 0.77551955 |
| BL_012_SI.CEL | BL | 0.7787996 |
| BL_013_SI.CEL | BL | 0.7188282 |
| HIV-BL_001_BO.CEL | HIV-BL | 0.71878594 |
| HIV-BL_002_BO.CEL | HIV-BL | 0.7652723 |
| HIV-BL_GSM429903.CEL | HIV-BL | 0.7188018 |
| HIV-BL_GSM429907.CEL | HIV-BL | 1 |
| HIV-BL_GSM429910.CEL | HIV-BL | 0.8241211 |
| HIV-BL_GSM429915.CEL | HIV-BL | 0.95909286 |
| Identifier . | Disease . | Confidence measure . |
|---|---|---|
| BL_001_SI.CEL | BL | 0.9257281 |
| BL_002_SI.CEL | BL | 0.71880513 |
| BL_003_SI.CEL | BL | 0.7978547 |
| BL_004_SI.CEL | BL | 0.8448915 |
| BL_005_SI.CEL | BL | 0.8881669 |
| BL_006_SI.CEL | BL | 0.95476633 |
| BL_007_SI.CEL | BL | 0.73522216 |
| BL_008_SI.CEL | BL | 0.78618616 |
| BL_009_SI.CEL | BL | 0.796209 |
| BL_010_SI.CEL | BL | 0.7188346 |
| BL_011_SI.CEL | BL | 0.77551955 |
| BL_012_SI.CEL | BL | 0.7787996 |
| BL_013_SI.CEL | BL | 0.7188282 |
| HIV-BL_001_BO.CEL | HIV-BL | 0.71878594 |
| HIV-BL_002_BO.CEL | HIV-BL | 0.7652723 |
| HIV-BL_GSM429903.CEL | HIV-BL | 0.7188018 |
| HIV-BL_GSM429907.CEL | HIV-BL | 1 |
| HIV-BL_GSM429910.CEL | HIV-BL | 0.8241211 |
| HIV-BL_GSM429915.CEL | HIV-BL | 0.95909286 |
For all identifiers listed, the predicted disease was BL. The support vector machine model used the molecular signature described by Staudt and Dave et al26 and had an accuracy of 100%.