T-Cell Receptor Repertoire Data for Coeliac Disease and Cytomegalovirus Infection

A dataset of T-cell receptor (TCR) repertoire samples from donors with known autoimmune disease status, including coeliac disease and previous cytomegalovirus infection. The data was used to train and test XGBoost and logistic regression models on kmer representations, with results detailed by author Hannah Kockelbergh. The dataset was last updated on 2026-04-30.

Use Cases

• Training machine learning models for TCR repertoire classification based on kmer representations.
• Comparing model performance (e.g., XGBoost vs. logistic regression) on immune status prediction tasks.
• Exploring reduced amino acid alphabets for efficient TCR sequence representation as mentioned in the description.
• Identifying important TCR sequence motifs associated with coeliac disease or cytomegalovirus infection.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The description details a specific methodological approach using kmer representations and model comparisons.
• Includes samples from donors with two distinct immune statuses: coeliac disease and cytomegalovirus infection.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Row count and column-level documentation are unknown, which limits suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Hannah Kockelbergh.

Collection Method

Likely contains TCR repertoire samples from patients with coeliac disease and donors with previous cytomegalovirus infection, processed into kmer representations.

Freshness

Last updated 2026-04-30 17:49:44; freshness should be verified.