TITAN: T-cell receptor specificity prediction with bimodal attention networks

Abstract Motivation The activity of the adaptive immune system is governed by T-cells and their specific T-cell receptors (TCR), which selectively recognize foreign antigens. Recent advances in experimental techniques have enabled sequencing of TCRs and their antigenic targets (epitopes), allowing t...

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Veröffentlicht in:	Bioinformatics (Oxford, England) Jg. 37; H. Supplement_1; S. i237 - i244
Hauptverfasser:	Weber, Anna, Born, Jannis, Rodriguez Martínez, María
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 12.07.2021 Oxford Publishing Limited (England)
Schlagworte:	Adaptive systems Antigens Availability Bioinformatics Data augmentation Epitopes Humans Immune system K-nearest neighbors algorithm Lymphocytes T Machine learning Macromolecular Sequence, Structure, and Function Molecular structure Nearest-neighbor Neural networks Neural Networks, Computer Receptors Receptors, Antigen, T-Cell - genetics Sequences T cell receptors T-Cell Antigen Receptor Specificity T-Lymphocytes Transfer learning
ISSN:	1367-4803, 1367-4811, 1367-4811
Online-Zugang:	Volltext
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