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 machineConvergent evolution and B-cell recirculation in germinal centers in a human lymph node
Pelissier A, Stratigopoulou M, Donner N, Dimitriadis E, Bende R, Guikema J, Martinez M, van Noesel C. Convergent evolution and B-cell recirculation in germinal centers in a human lymph node. Life Science Alliance 2023, 6: e202301959. PMID: 37640448, PMCID: PMC10462906, DOI: 10.26508/lsa.202301959.Peer-Reviewed Original ResearchConceptsGerminal centersLymph nodesHuman lymph nodesGC responseHuman LNImmune responseDevelopment of autoimmune diseasesConvergent evolutionB cell clonesB cell recirculationEffective immune responseExpanded clonesLaser capture microdissectionPhylogenetic tree analysisIndividual germinal centersB cellsAutoimmune diseasesAntigen responseMouse modelModel antigenAntigenClonal diversity