A funky model ready set of principle components from K functions based on
triple negative breast cancer data from patients. The original data was
proteins as coded in T/F values. Additionally, the age meta-variable was
added.
TNBC
A data frame with 33 rows and 1398 columns:
- Class
Outcome of each patient
- Person
Person for each image
- NA_Si_PC1 through tumerYN_tumerYN_PC3
Principle components of the K
functions for the named interactions
- age
Meta-variable for patient age