Mining, visualizing and comparing multidimensional ...
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Mining, visualizing and comparing multidimensional ...
Figure S2. Multivariate analyses of antibody signal intensities against P. falciparum proteins in respect to age, time of the malaria season, concurrent parasitemia ...
Mining, visualizing and comparing multidimensional biomolecular data using the Genomics Data Miner (GMine) Web-Server. Carla Proietti*, Martha Zakrzewski*, Thomas Watkins, Bernard Berger, Shihab Hasan, Champa N. Ratnatunga, Marie-Jo Brion, Peter D. Crompton, John Miles, Denise Doolan, Lutz Krause SUPPLEMENTARY FIGURES Figure S1: Normalization in GMine. The upper boxplot shows raw measurements, the second boxplot shows transformed data. Additionally, raw measurements are plotted versus transformed measurements. Shown are antibody signal intensities of 491 seropositive proteins before and after VSN transformation for 19 protected children (blue boxplot) and the 29 susceptible children (red boxplot).
Figure S2. Multivariate analyses of antibody signal intensities against P. falciparum proteins in respect to age, time of the malaria season, concurrent parasitemia, gender and hemoglobin type (n=194 individuals). (a,c) Principal components analysis (PCA) of antibody signal intensity profiles (388 samples from 194 individuals). Subjects from different age groups and samples collected before or after the malaria season form concentric clusters. (b,d) Redundancy analysis (RDA) was run on the antibody profiles against 491 seropositive proteins including age, time of the malaria season, concurrent parasitemia, gender and hemoglobin type as explanatory variables. Samples clustered by age group and time of the malaria season (before/after). Age, time of the malaria season and concurrent parasitemia were significantly associated with antibody profiles (p
