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

A dataset containing T-cell receptor (TCR) repertoire samples from donors with known autoimmune disease status, including coeliac disease and previous cytomegalovirus infection. The dataset is 5.5 KB in size, authored by Hannah Kockelbergh, and was last updated on April 30, 2026. It was used to train and test XGBoost and logistic regression models on kmer representations of TCR sequences.

Use Cases

• Training classification models for autoimmune disease status based on TCR repertoire kmer representations.
• Comparing the performance of XGBoost and logistic regression models on biological sequence data.
• Identifying important TCR sequence motifs for biomarker discovery in coeliac disease.
• Evaluating the effect of reduced amino acid alphabets, based on BLOSUM62, on model discriminative ability.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Description details a specific methodological approach using kmer methods and XGBoost.
• Focus includes samples from donors with two distinct immune statuses: coeliac disease and cytomegalovirus infection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Hannah Kockelbergh.

Collection Method

Likely contains TCR repertoire samples from donors of known autoimmune disease status, processed into kmer representations.

Freshness

Last updated 2026-04-30 17:49:47; freshness should be verified.