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Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

Autor: Wells, Daniel K, van Buuren, Marit M, Dang, Kristen K, Hubbard-Lucey, Vanessa M, Sheehan, Kathleen CF, Campbell, Katie M, Lamb, Andrew, Ward, Jeffrey P, Sidney, John, Blazquez, Ana B, Rech, Andrew J, Zaretsky, Jesse M, Comin-Anduix, Begonya, Ng, Alphonsus HC, Chour, William, Yu, Thomas V, Rizvi, Hira, Chen, Jia M, Manning, Patrice, Steiner, Gabriela M, Doan, Xengie C, Tumor Neoantigen Selection Alliance, Merghoub, Taha, Guinney, Justin, Kolom, Adam, Selinsky, Cheryl, Ribas, Antoni, Hellmann, Matthew D, Hacohen, Nir, Sette, Alessandro, Heath, James R, Bhardwaj, Nina, Ramsdell, Fred, Schreiber, Robert D, Schumacher, Ton N, Kvistborg, Pia, Defranoux, Nadine A

Publikováno v: Cell, vol 183, iss 3

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However, there are no reference data to compare these approaches, and the param

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