It was then determined if the binomial probability for the number of spots was significantly different between adult and neonatal cells.
We developed a simple mathematical model based on binomial probability for predicting rates of incidental findings.
Briefly, for any region with a length of n probes, P n represents the minimum possible binomial probability for the region.
First, the fraction of times one sample within a pair stained more intensely exceeded 50% was tested; McNemar's test was used, excluding cases where both stained equally, and calculated the exact two-sided binomial probability for a disparity as extreme or more extreme if the true proportion were 0.5.
For deciding competitiveness, we tested the null hypothesis that the binomial probability of each of the two competing strategies being washed out was equal, i.e. 50 50.
Exact binomial probabilities for the situations of n out of n genes were calculated in each sample using the standard binomial formula, where the n is the number of genes identified using ESTs in each sample, and the probability that the differentially expressed gene of ESTs will exist in the same sample type of the MPSS is the proportion of the DES among total MPSS in each sample.
For the three genotypes that displayed resistance in both our field surveys and transmission experiments (sc78, sc96, ck311), the combined binomial probabilities for observing full WBD resistance (i.e. no infections) in both the transmission experiments and field surveys were significant (P = 0.043, P = 0.007, P = 0.001, respectively).
Figure 1B shows that theoretical binomial probabilities for random guessing (in case of anosmia or pronounced cognitive impairment, assuming equal multiple-choice success probabilities of 0.25 for all 4 odors) markedly differed from relative recognition score frequencies.
Otherwise, we compute the probability that the base call r i (which matches v i ) is erroneous, by calculating Binomial probabilities for the three alternative bases x: (1) Pr X ≥ x = ∑ j = k n i n t k p j 1 − p n i − j where k = the observed read count for base x at position i.
A standard Bonferroni correction is applied to the remaining regions using the minimum binomial probability (P n ) for each region.
