Computational modelling of immunological mechanisms: From statistical approaches to interpretable machine learning
Martínez M, Barberis M, Niarakis A. Computational modelling of immunological mechanisms: From statistical approaches to interpretable machine learning. ImmunoInformatics 2023, 12: 100029. DOI: 10.1016/j.immuno.2023.100029.Peer-Reviewed Original ResearchHigh-throughput experimental technologiesComputational biologyDevelopment of high-throughput experimental technologiesImmune systemHigh-throughput data analysisImmunological mechanismsMolecular functionsSystems biologyImmune-related diseasesOptimal immunotherapyTherapeutic optionsAutoimmune diseasesComplex disorderInterpretable machine learningMachine learning modelsCellular interactionsGeneration of computational modelsBiologyComputer scienceMachine learningMachine-learning modelsDiverse domainsLearning modelsExperimental technologyInterpretable machineBenchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report
Meysman P, Barton J, Bravi B, Cohen-Lavi L, Karnaukhov V, Lilleskov E, Montemurro A, Nielsen M, Mora T, Pereira P, Postovskaya A, Martínez M, Fernandez-de-Cossio-Diaz J, Vujkovic A, Walczak A, Weber A, Yin R, Eugster A, Sharma V. Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report. ImmunoInformatics 2023, 9: 100024. DOI: 10.1016/j.immuno.2023.100024.Peer-Reviewed Original Research