Datasetpublic

jruffle/tracerx_expression_data

TRACERx Expression Data VST-normalized gene expression data from the TRACERx lung cancer cohort. Contents tracerx_vst_counts.parquet: VST-normalized expression matrix (Parquet format) Rows: 20136 genes Columns: 1051 samples Size: 106.0 MB Usage from huggingface_hub import hf_hub_download import pandas as pd # Download the expression data (Parquet - faster) local_path = hf_hub_download( repo_id="jruffle/tracerx_expression_data"… See the full description on the dataset page: https://huggingface.co/datasets/jruffle/tracerx_expression_data.

sourceHugging Faceupdated 9mo agoView on Hugging Face

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TRACERx Expression Data

VST-normalized gene expression data from the TRACERx lung cancer cohort.

—tracerx_vst_counts.parquet: VST-normalized expression matrix (Parquet format)
—Rows: 20136 genes
—Columns: 1051 samples
—Size: 106.0 MB

Usage

python

from huggingface_hub import hf_hub_download
import pandas as pd

# Download the expression data (Parquet - faster)
local_path = hf_hub_download(
    repo_id="jruffle/tracerx_expression_data",
    filename="tracerx_vst_counts.parquet",
    repo_type="dataset"
)

# Load the data
expression_df = pd.read_parquet(local_path)

Data Format

—Index: Gene symbols (gene_id)
—Columns: Sample IDs
—Values: VST-normalized expression values

Why Parquet?

Parquet format provides:

—~3x smaller file size than CSV
—~10-100x faster loading times
—Native pandas support

License

This data is provided for research purposes as part of the CRUK Datathon 2025.