TNBC: Triple Negative Breast Cancer Data
In funkycells: Functional Data Analysis for Multiplexed Cell Images
TNBC R Documentation
Triple Negative Breast Cancer Data
Description
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.
Usage
TNBC
Format
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
...
Source
funkycells documentation built on Aug. 9, 2023, 5:10 p.m.
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| TNBC | R Documentation |
Triple Negative Breast Cancer Data
Description
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.
Usage
TNBC
Format
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
...
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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