WBPaper00037147:heatshock_downregulated

Survival during heat stress was analyzed using a non-parametric (Mantel-Haenszel) Log rank test and presented as Kaplan-Meier survival curves (Prism software package). For the TSA analysis all full genome wide expression analyses involved comparisons of two groups and thus on a gene by gene basis, for each set, authors performed two-sample t-tests on the log2 transformed expression measures to derive raw p-values. The Benjamini and Hochberg was then used to report the inference adjusted for multiple comparisons (q-values), in their case controlling false discovery rate (FDR). Statistically significant differential expression was defined as FDR q-value <= 0.05, thereby controlling FDR at <= 0.05 for each set of comparisons. Shown here are heat shock vs control ratio and raw p_value based on two-sample t-test. Genes for which heat shock F3 (fraction 3, containing heavy polysomes) versus control F3 is significantly decreased

WBPaper00037147:heatshock_upregulated

Survival during heat stress was analyzed using a non-parametric (Mantel-Haenszel) Log rank test and presented as Kaplan-Meier survival curves (Prism software package). For the TSA analysis all full genome wide expression analyses involved comparisons of two groups and thus on a gene by gene basis, for each set, authors performed two-sample t-tests on the log2 transformed expression measures to derive raw p-values. The Benjamini and Hochberg was then used to report the inference adjusted for multiple comparisons (q-values), in their case controlling false discovery rate (FDR). Statistically significant differential expression was defined as FDR q-value <= 0.05, thereby controlling FDR at <= 0.05 for each set of comparisons. Shown here are heat shock vs control ratio and raw p_value based on two-sample t-test. Genes for which heat shock F3 (fraction 3, containing heavy polysomes) versus control F3 is significantly increased.

WBPaper00046415:lithium_downregulated

All data were analyzed using Stat View J 5.0, with all experimental data checked for assumptions of homogeneity of variance across manipulations using Bartletts test. Once the assumptions were satisfied, the data were analyzed by one-way analysis of variance followed by Dunnetts multiple comparison test. When homogeneity was not evident in the data, we used the nonparametric KruskalWallis test, followed by the MannWhitney U-test with a Bonferroni adjustment. Differences were considered significant at P < 0.05. Genes suppressed following 24h exposure to lithium compounds (78uM LiCl and 375uM Li2CO3), according to custom DNA microarray.