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Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k -mer Feature Extraction
The repertoire of T cell receptors encodes various types of immunological information. Machine learning is indispensable for decoding such information from repertoire datasets measured by next-generation sequencing (NGS). In particular, the classification of repertoires is the most basic task, which...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346074/ https://www.ncbi.nlm.nih.gov/pubmed/35936014 http://dx.doi.org/10.3389/fimmu.2022.797640 |