2024
DOI: 10.1016/bs.mcb.2023.08.001
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Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells

Donovan Flumens,
Sofie Gielis,
Esther Bartholomeus
et al.
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“…Moreover, the volume of data generated by TCR sequencing is substantial, and the identification of specific TCRs for cancer therapy is time consuming ( 19 ). Novel prediction models have been developed to identify epitope-specific TCRs ( 90 ). In addition, more sensitive and cost-effective sequencing tools have been developed, including characterizing TCR repertoires ( 91 ), spatially resolved TCR sequencing ( 92 ), and formalin-fixed paraffin-embedded-suitable unique molecular identifier-based-TCR sequencing ( 93 ).…”
Section: Conclusion and Prospectsmentioning
confidence: 99%
“…Moreover, the volume of data generated by TCR sequencing is substantial, and the identification of specific TCRs for cancer therapy is time consuming ( 19 ). Novel prediction models have been developed to identify epitope-specific TCRs ( 90 ). In addition, more sensitive and cost-effective sequencing tools have been developed, including characterizing TCR repertoires ( 91 ), spatially resolved TCR sequencing ( 92 ), and formalin-fixed paraffin-embedded-suitable unique molecular identifier-based-TCR sequencing ( 93 ).…”
Section: Conclusion and Prospectsmentioning
confidence: 99%