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Identification of Acute Lung Injury Profiles.

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posted on 12.10.2012, 02:32 by Pingzhao Hu, Xinchen Wang, Jack J. Haitsma, Suleiman Furmli, Hussain Masoom, Mingyao Liu, Yumiko Imai, Arthur S. Slutsky, Joseph Beyene, Celia M. T. Greenwood, Claudia dos Santos

(a) Relationship between adjusted pvalue and mean effect size (MSE). (b) Overlap of significantly expressed genes (FDR≤0.1) between one-hit and two-hit models of VILI. Significantly altered probesets were matched between one-hit and two-hit models of VILI and collapsed to their corresponding genes using the annotation file for the Affymetrix U133 Plus 2.0 chip. (c) Identification frequency of significantly expressed genes from one-hit and two-hit models of VILI. Significantly expressed genes (FDR≤0.1) in the individual experiments were chosen using two-class unpaired SAM. Rat and mouse datasets from GSE2368 were considered one experiment, and normalized data provided in supplementary data was used for analysis. The frequency of the significantly expressed genes from meta-analysis of one-hit and two-hit models of VILI were evaluated by counting the times these genes were also found significantly expressed in individual experiment. Note: “All" means all the experiments used in meta-analysis; “None" means genes only found in meta-analysis but not in individual experiments.