The normal cumulative distribution function was used to convert the p-values to a Z-score.
The normal commutative distribution was used to convert the p-values to a Z-score for further calculations.
To convert the p-values to scores for the network and calculate functional modules the approach by Dittrich et al. [ 21] was used (see Methods).
We instead convert the P-values into q-values, that control the positive false discovery rate (pFDR), by using the procedure described by Storey (2002).
For the set of all genes from active clusters in A i, we find its enriched biological processes by calculating the hyper-geometric p-value, then convert the p-value into a log score s by s = -log10 (p).
If the gene was down-regulated, we directly converted the p value into a Z score to produce negative Z values.
We extracted the p-value p m for each expressed gene m in the microarray data and then converted the p m into a z-score by Formula 1. (1) where Φ-1 denotes the inverse normal cumulative distribution function.
Furthermore the optical effect of converting the Pd cap-layer to Pd–H was determined.
A belt-and-pulley mechanism converts the P-Gear rotation to linear motion.
Thus 60 U ml−1 of enzyme completely converted the p-chlorophenol (into products) in 4 min in the absence of PEG.
Upon evaluating Eq. (1), the densities were calculated by converting the P-wave velocities (Matsubara et al., 2008) using an empirical relation by Christensen and Mooney (1995).
