In the paper [14] the problem of fault detection in distributed parameter systems is formulated as maximizing the power of a parameter hypothesis testing whether the system parameters have nominal values or not.
In contrast, for parallel growth where every neuron started growing their axons simultaneously, out-degrees were independent of indices of neurons as the indices merely had nominal values in this case (Fig. 2a).
In the transcription factor analysis, motifs associated with Foxd1, Znf238 and Pbx1 had nominal P-values < 0.001 and FDR q-values < 0.05.
Twenty-five SNPs from nine genes (ADAM12, CSF1, GBP2, KCNMA1, NOS2A, SORCS2, SORCS3, SORL1, and WWC1) had nominal P values of 0.003 to 0.05 in the individual LOAD GWAS with P values of 0.0001 to 0.01 in the joint analysis.
SNPs in PTH, TGFB1, and VDR had nominal p values <0.05 but did not resist Bonferroni correction.
Twelve of 57 SNPs had nominal p-values <0.05 in the replication cohort.
The enriched gene sets have nominal p-value (NPV) less than 1% and False Discovery Rate (FDR) <50% after 100 random permutations.
Both pathways had nominal P values of 0.002, with corresponding FDRs of 0.041.
Of all patient samples analysed and interrogated in this evaluation a total of 68% had nominal CTC values of ≤5.
Five pathways had nominal P-values less than 0.05, while seven pathways were identified by applying an FDR cutoff 0.2.
As the figure and table together demonstrate, 10 probes clustering to four discrete areas have nominal significance values of < 1×10-3 1×10-3
