Власова Елизавета Кирилловна

Статья

Luppov D.V., Vlasova E.K., Chudakov D.M., Shugay M. Comprehensive analysis of alpha betaT-cell receptor repertoires reveals signatures of thymic selection. Frontiers in Immunology. 2025. Vol. 16. pp. 1605170.. doi: 10.3389/fimmu.2025.1605170

Статья

Vlasova E.K. Inference of SARS-CoV-2 exposure biomarkers using large-scale T-cell repertoire profiling. не указано. 2025. Vol. не указан. No. не указан. pp. не указаны.

Статья

Kremlyakova Y., Vlasova E.K., Luppov D., Shugay M. TCREMP: A Bioinformatic Pipeline for Efficient Embedding of T-cell Receptor Sequences from Immune Repertoire and Single-cell Sequencing Data. Journal of Molecular Biology. 2025. Vol. 437. No. 15. pp. 169205.. doi: 10.1016/j.jmb.2025.169205

Статья

Власова Е.К. STUDYING POPULATION FREQUENCIES OF T-CELL RECEPTOR (TCR) ALLELES USING IMMUNE REPERTOIRE SEQUENCING. BIOINFORMATICS INSTITUTE 2023/24. 2024. Vol. 1. No. 1. pp. 98-100.

Тезисы

ИЗУЧЕНИЕ ТИМУСНОЙ СЕЛЕКЦИИ ПРИ ПОМОЩИ АНАЛИЗА ДАННЫХ СЕКВЕНИРОВАНИЯ РЕПЕРТУАРА Т-КЛЕТОЧНЫХ РЕЦЕПТОРОВ

Тезисы

STUDYING POPULATION FREQUENCIES OF T-CELL RECEPTOR (TCR) ALLELES USING IMMUNE REPERTOIRE SEQUENCING

Тезисы

Large-scale analysis of haplotype effects in TCR alpha and beta germlines based on Rep-seq data

Статья

Vlasova E.K. TRAINING A LANGUAGE MODEL FOR T-CELL RECEPTOR SEQUENCES AND LINKING THEM TO RELEVANT SCIENTIFIC LITERATURE. Bioinformatics institute 2023/24. 2024. pp. 42-45.

Тезисы

Обнаружение COVID-19-специфичных Т-клеточных рецепторов при помощи анализа данных секвенирования репертуаров

Тезисы

Predicting donor COVID-19 status based on deep profiling of immune repertoires

Статья

Vlasova E.K. Robust detection of SARS-CoV-2 exposure in the population using T-cell repertoire profiling. BioRxiv [база препринтов]. 2023. pp. 1-23.. doi: https://doi.org/10.1101/2023.11.08.566227

Тезисы

STUDYING THYMIC SELECTION WITH DEEP PROFILING OF T-CELL RECEPTOR REPERTOIRES

Тезисы

Аллельный анализ генов, отвечающих за генерацию стереотипных антител к SARS-СoV-2

Тезисы

LIPOPHILICITY PREDICTION WITH GRAPH CONVOLUTIONS AND MOLECULAR SUBSTRUCTURES REPRESENTATION

Тезисы

HAPLOTYPE VARIANT CALLING USING HYPERGRAPHS APPROACH

Статья

Vlasova E.K. Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation. Machine Learning for Molecules Workshop at NeurIPS 2020. 2020. pp. 1.