Vlasova E.K. 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. --.
Vlasova E.K. Comprehensive analysis of ??T-cell receptor repertoires reveals signatures of thymic selection. не указано. 2025. Vol. не указан. No. не указан. pp. не указаны.
STUDYING POPULATION FREQUENCIES OF T-CELL RECEPTOR (TCR) ALLELES USING IMMUNE REPERTOIRE SEQUENCING
Large-scale analysis of haplotype effects in TCR alpha and beta germlines based on Rep-seq data
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.
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.
ИЗУЧЕНИЕ ТИМУСНОЙ СЕЛЕКЦИИ ПРИ ПОМОЩИ АНАЛИЗА ДАННЫХ СЕКВЕНИРОВАНИЯ РЕПЕРТУАРА Т-КЛЕТОЧНЫХ РЕЦЕПТОРОВ
Обнаружение COVID-19-специфичных Т-клеточных рецепторов при помощи анализа данных секвенирования репертуаров
STUDYING THYMIC SELECTION WITH DEEP PROFILING OF T-CELL RECEPTOR REPERTOIRES
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.
Predicting donor COVID-19 status based on deep profiling of immune repertoires
Аллельный анализ генов, отвечающих за генерацию стереотипных антител к SARS-СoV-2
LIPOPHILICITY PREDICTION WITH GRAPH CONVOLUTIONS AND MOLECULAR SUBSTRUCTURES REPRESENTATION
HAPLOTYPE VARIANT CALLING USING HYPERGRAPHS APPROACH
Vlasova E.K. Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation. Machine Learning for Molecules Workshop at NeurIPS 2020. 2020. pp. 1.
Российская Федерация
Российская Федерация