Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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scientific article published on 27 August 2018

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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Predicting T cell recognition of MHC class I restricted neoepitopes

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P1476

Predicting T cell recognition of MHC class I restricted neoepitopes

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P2093

Alessandro Sette

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Bjoern Peters

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John Sidney

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Kerrie Vaughan

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Manasa Lanka

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Paul Robbins

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P2860

Cancer immunotherapy: moving beyond current vaccines

Amino acid substitution matrices from protein blocks

Automating document classification for the Immune Epitope Database

IMGT/HLA and IMGT/MHC: sequence databases for the study of the major histocompatibility complex

Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method.

The blockade of immune checkpoints in cancer immunotherapy

Relationship between the inhibition constant (K1) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction

Tumor neoantigens: building a framework for personalized cancer immunotherapy

Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer

pROC: an open-source package for R and S+ to analyze and compare ROC curves

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e1492508

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scholarly article

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10.1080/2162402X.2018.1492508

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English

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P478

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Jason A Greenbaum

Zeynep Koşaloğlu-Yalçın

Angela Frentzen

Ashmitaa Logandha Ramamoorthy Premlal

Jared Gartner

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2018-08-27T00:00:00Z

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30377561

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P921

immunology

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6204999

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