Pia Kvistborg

Abstract 3210: Strategies to improve the sensitivity and ranking ability of neoantigen prediction methods: Report on the results of the Tumor nEoantigen SeLection Alliance (TESLA)

John Sidney, Andrew Lamb, Nir Hacohen, 2020 .

Abstract 1898: Accurate modeling of antigen processing and MHC peptide presentation using large-scale immunopeptidomes and a novel machine learning framework

Dattatreya Mellacheruvu, Rachel Marty Pyke, Rena McClory, 2021, Immunology.

The cancer antigenome

Pia Kvistborg, T. Schumacher, P. Kvistborg, 2012, The EMBO journal.

Novel technologies and emerging biomarkers for personalized cancer immunotherapy

Yingdong Zhao, Holden T Maecker, Ena Wang, 2016, Journal of Immunotherapy for Cancer.

Cancer Neoantigens.

Ton N Schumacher, Pia Kvistborg, T. Schumacher, 2019, Annual review of immunology.

Parallel detection of antigen-specific T cell responses by combinatorial encoding of MHC multimers

Ton N Schumacher, Sine Reker Hadrup, Pia Kvistborg, 2012, Nature Protocols.

Manufacture of gene-modified human T-cells with a memory stem/central memory phenotype.

Ton N Schumacher, Jos H Beijnen, Wolfgang Uckert, 2014, Human gene therapy methods.