IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition.

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Bibliographic Details
Title: IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition.
Authors: Borch A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Carri I; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Reynisson B; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Alvarez HMG; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Munk KK; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Montemurro A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Kristensen NP; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Tvingsholm SA; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Holm JS; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Heeke C; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Moss KH; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Hansen UK; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Schaap-Johansen AL; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Bagger FO; Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark., de Lima VAB; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Rohrberg KS; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Funt SA; Department of Medicine, Weill Cornell Medical College, New York, NY, United States., Donia M; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark., Svane IM; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark., Lassen U; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Barra C; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Nielsen M; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Hadrup SR; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Source: Frontiers in immunology [Front Immunol] 2024 Apr 03; Vol. 15, pp. 1360281. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-3224
DOI:10.3389/fimmu.2024.1360281