GSE37250: Transcriptomics data from active vs latent tuberculosis...
In bioinfo00/xnnet0: Explainable neural network classification
Description
Usage
Format
Source
Description
Transcriptomics data from active vs latent tuberculosis patients
Usage
1
Format
Sample of a GEO dataset containing labeled transcriptional profiles from active and latent tuberculosis patients
- X
expression matrix with 50 samples (rows) and 31426 probes (columns)
- y
a vector of binary labels for each sample: 0 = latent tuberculosis, 1 = active tuberculosis
Source
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37250
bioinfo00/xnnet0 documentation built on Sept. 16, 2020, 8:22 a.m.
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Description Usage Format Source
Description
Transcriptomics data from active vs latent tuberculosis patients
Usage
1 |
Format
Sample of a GEO dataset containing labeled transcriptional profiles from active and latent tuberculosis patients
- X
expression matrix with 50 samples (rows) and 31426 probes (columns)
- y
a vector of binary labels for each sample: 0 = latent tuberculosis, 1 = active tuberculosis
Source
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE37250
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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