Table_4.xls (5.5 kB)
Multivariate linear regression models to investigate associations between beneficial responses, entropy, HLA alleles and % inhibition (dependent variable).
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posted on 2015-02-27, 03:57 authored by Gemma Hancock, Hongbing Yang, Elisabeth Yorke, Emma Wainwright, Victoria Bourne, Alyse Frisbee, Tamika L. Payne, Mark Berrong, Guido Ferrari, Denis Chopera, Tomas Hanke, Beatriz Mothe, Christian Brander, M. Juliana McElrath, Andrew McMichael, Nilu Goonetilleke, Georgia D. Tomaras, Nicole Frahm, Lucy DorrellIn each model, magnitude = total beneficial response (sum of responses to beneficial peptide pools)
Ratio of protective / total response = total beneficial response / total proteome response (both defined as IFN-γ+ cells/million CD8+ T cells)
* HLA-B*27, B*51, B*5701, B*5801, B*81
§ HLA-B*35 (Py), HLA-B*53
Multivariate linear regression models to investigate associations between beneficial responses, entropy, HLA alleles and % inhibition (dependent variable).
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HIV Vaccine trials Networkdata support HIV immunogen designconservation algorithmsViral inhibitionimmunodominance hierarchiesT cell responseregionVirus Controlvaccines encodingHIV controlHLA classHIV proteinsviremic controllersHIV immunogenimmunodominant decoy epitopeshvtnHIV replicationvcVaccine development
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