Learning predictive signatures of HLA type from T-cell repertoires
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DOI: 10.1371/journal.pcbi.1012724
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References listed on IDEAS
- Hongyi Zhang & Xiaowei Zhan & Bo Li, 2021. "GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
- John-William Sidhom & H. Benjamin Larman & Drew M. Pardoll & Alexander S. Baras, 2021. "DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
- John-William Sidhom & H. Benjamin Larman & Drew M. Pardoll & Alexander S. Baras, 2021. "Author Correction: DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
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