A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data

Vasileios Pezoulas (1) , Costas Papaloukas (1) , Maeva Veyssière (2) , Andreas Goules (3) , Athanasios Tzioufas (3) , Vassili Soumelis (2) , Dimitrios Fotiadis (1, 4)

1 University of Ioannina
2 HIPI (UMR_S_976 / U976) - Immunologie humaine, physiopathologie & immunothérapie
3 University of Athens Medical School [Athens]
4 IMBB-FORTH - Institute of Molecular Biology and Biotechnology

Domaines: Bio-informatique [q-bio.QM]; Sciences du Vivant [q-bio]

Vasileios Pezoulas, Costas Papaloukas, Maeva Veyssière, Andreas Goules, Athanasios Tzioufas, et al.. A computational workflow for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data. Computational and Structural Biotechnology Journal, 2021, 19, pp.3058-3068. ⟨10.1016/j.csbj.2021.05.036⟩. ⟨hal-03360257⟩