Selected article for: "analysis cluster and cluster analysis cluster"

Author: Lucia Grenga; Fabrice Gallais; Olivier Pible; Jean-Charles Gaillard; Duarte Gouveia; Hélène Batina; Niza Bazaline; Sylvie Ruat; Karen Culotta; Guylaine Miotello; Stéphanie Debroas; Marie-Anne Roncato; Gérard Steinmetz; Charlotte Foissard; Anne Desplan; Béatrice Alpha-Bazin; Christine Almunia; Fabienne Gas; Laurent Bellanger; Jean Armengaud
Title: Shotgun proteomics of SARS-CoV-2 infected cells and its application to the optimisation of whole viral particle antigen production for vaccines
  • Document date: 2020_4_17
  • ID: kd02dehk_20
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.17.046193 doi: bioRxiv preprint (1402 host protein groups retained). Finally, proteins assigned to the different clusters were retained for cluster visualization and gene ontology (GO)-enrichment analysis per each cluster. Statistically enriched (FDR ≤ 0.05) GO terms on proteins that are differentially expressed between pairwise samples.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.17.046193 doi: bioRxiv preprint (1402 host protein groups retained). Finally, proteins assigned to the different clusters were retained for cluster visualization and gene ontology (GO)-enrichment analysis per each cluster. Statistically enriched (FDR ≤ 0.05) GO terms on proteins that are differentially expressed between pairwise samples or on proteins assigned to each co-expression cluster were identified using Metascape [20] . The most statistically enriched GO terms were visualized in ggplot2 [21] .

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