Cell line train data targets

Usage

train_targets

Format

A data frame with 18 variables for 409 samples as rows.

gsm: GSM identifier (GEO accession number) of the sample
cell_type: the cell type of the respective sample
adipocytes: one-hot encoded (1 or 0) column defining if a given sample is an adipocyte
astrocytes: one-hot encoded (1 or 0) column defining if a given sample is an astrocyte
blood_cells: one-hot encoded (1 or 0) column defining if a given sample is a blood cell
endothelial_cells: one-hot encoded (1 or 0) column defining if a given sample is an endothelial cell
epidermal_cells: one-hot encoded (1 or 0) column defining if a given sample is an epidermal cell
epithelial_cells: one-hot encoded (1 or 0) column defining if a given sample is an epithelial cell
fibroblasts: one-hot encoded (1 or 0) column defining if a given sample is a fibroblast
glia: one-hot encoded (1 or 0) column defining if a given sample is a glia cell
hepatocytes: one-hot encoded (1 or 0) column defining if a given sample is an hepatocyte
ips_cells: one-hot encoded (1 or 0) column defining if a given sample is an ipsc
msc: one-hot encoded (1 or 0) column defining if a given sample is an msc
muscle_cells: one-hot encoded (1 or 0) column defining if a given sample is a muscle cell
neurons: one-hot encoded (1 or 0) column defining if a given sample is a neuron
muscle_sc: one-hot encoded (1 or 0) column defining if a given sample is a muscle stem cell
group_data: to which dataset these data belong to (train or test)
description: the cell type of the respective sample, in long form