SLNSW-DeepTCR is a deep learning framework for revealin...-TN_cdi_proquest_journals_2556539162

DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

Full title: DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

Author/creator: Sidhom, John-William, Larman, H Benjamin, Pardoll, Drew M, Baras, Alexander S.

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Record Identifier: TN_cdi_proquest_journals_2556539162

Language: English

Formats: Articles

Publishers: England: Nature Publishing Group

Permalink: https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2556539162

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    Record title

    DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

    Record identifier

    TN_cdi_proquest_journals_2556539162

    Record permalink

    https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2556539162

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    DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

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    https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2556539162

    DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

    Full title

    DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

    Author / Creator

    Sidhom, John-William ; Larman, H Benjamin ; Pardoll, Drew M ; Baras, Alexander S

    Publisher

    England: Nature Publishing Group

    Journal title

    Nature communications, 2021, Vol.12 (1), p.1605-1605

    Record Identifier

    TN_cdi_proquest_journals_2556539162

    Language

    English

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    Articles

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    Adaptive immunity Adaptive systems Algorithms Amino Acid Sequence - genetics Animals Antigenicity Antigens Artificial neural networks Cell culture Complementarity-determining region 3 Computational models Databases, Genetic Deep Learning Functional clustering Genomics High-Throughput Nucleotide Sequencing - methods Humans Immune response Immune system Immunogenetics Information processing J gene Learning algorithms Lymphocytes T Machine learning Mice Neural networks Neural Networks, Computer Pattern recognition Receptors Receptors, Antigen, T-Cell - genetics RNA-Seq - methods T-cell receptor T-Lymphocytes - immunology Task complexity

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    TN_cdi_proquest_journals_2556539162

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    https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2556539162

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