WBPaper00005124:estrogen_10-5M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-05M of estrogen. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:testosterone_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of testosterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:cholesterol_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of cholesterol . The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:progesterone_10-9M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-09M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:progesterone_10-7M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-07M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00005124:progesterone_10-5M_regulated

The normalized values used were: G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively. Genes up or down regulated by 10e-05M of progesterone. The normalized values used were G/R ratio > 2.6 for up-regulation and G/R ratio < 0.38 for down-regulation, which corresponds to 1.39 and -1.39 log(base2) G/R ratio, respectively.

WBPaper00026952:class_G

Raw data from each experiment were downloaded from the Stanford Microarray Database into Excel files and processed as follows: (i) sort by Spot Flag and discard any rows where the Spot Flag value was nonzero, indicating a bad PCR; (ii) sort by Failed and discard any rows where the Failed value was nonzero, indicating abnormal hybridization; (iii) import into a common file for each type of experiment (i.e., lin-14 or lin-4) the columns from each raw experimental file [RAT2(R/G), which shows a log base 2 transformed ratio of normalized red/green signal for each spot; name of spot (Wormbase designation); chromosome location and description (www.wormbase.org)]; (iv) calculate an average RAT2(R/G) based on the 2 or 3 values (avg; any rows which had only one good experimental value were discarded); (v) calculate a standard deviation (stdev) for the average value; (vi) calculate a t value for each spot by using the formula t = avg*[sqrt(n - 1)]/stdev, where n is the number of experiments for which good data exist, sqrt is square root, and stdev is standard deviation; (vii) sort by absolute t value and discard any rows with a t value below 4.303 (below 95% confidence interval for three experiments) or below 12.706 (below 95% confidence interval for two experiments); (viii) sort by absolute average value and discard any rows with average values below 1.0 (less than twofold change compared to control). Class G gene expression showed down regulation in lin-14(lf) in L1, down regulation in lin-4(lf) in L2.

[cgc5767]:expression_class_ET_max(53_min)

A modified Welch F statistic was used for ANOVA. For each gene, regressed error estimates were substituted for observed error estimates. The substitution is justified by the lack of consistency among the most and least variable genes at each time point. Regressed error estimates were abundance-dependent pooled error estimates that represented a median error estimate from a window of genes of similar abundance to the gene of interest. A randomization test was used to compute the probability Pg of the observed F statistic for gene g under the null hypothesis that developmental time had no effect on expression. P-values were not corrected for multiple testing. Embryonic transient (ET) subclasses are based on time of max abundance.

[cgc5767]:expression_class_ET_max(41_min)

A modified Welch F statistic was used for ANOVA. For each gene, regressed error estimates were substituted for observed error estimates. The substitution is justified by the lack of consistency among the most and least variable genes at each time point. Regressed error estimates were abundance-dependent pooled error estimates that represented a median error estimate from a window of genes of similar abundance to the gene of interest. A randomization test was used to compute the probability Pg of the observed F statistic for gene g under the null hypothesis that developmental time had no effect on expression. P-values were not corrected for multiple testing. Embryonic transient (ET) subclasses are based on time of max abundance.

[cgc5767]:expression_class_ET_max(83_min)

A modified Welch F statistic was used for ANOVA. For each gene, regressed error estimates were substituted for observed error estimates. The substitution is justified by the lack of consistency among the most and least variable genes at each time point. Regressed error estimates were abundance-dependent pooled error estimates that represented a median error estimate from a window of genes of similar abundance to the gene of interest. A randomization test was used to compute the probability Pg of the observed F statistic for gene g under the null hypothesis that developmental time had no effect on expression. P-values were not corrected for multiple testing. Embryonic transient (ET) subclasses are based on time of max abundance.