Sentence examples for binomial probability of observing from inspiring English sources

Binom is the binomial probability of observing S k out of N k given mean survival (e^{-widehat {y_{k}} t}).

The correlation score was measured using -log(P) for correlation and log(P) for anti-correlation, where P is the p-value corresponding to the binomial probability of observing the corresponding frequency shift [ 15].

For a gene to be considered up-regulated by σB, the binomial probability of observing as many reads in the Δ sigB strain as those observed for 10403S had to be < 0.05 for each of the four possible combinations.

The binomial probability of observing two or more de novo mutations at a specified position in a set of 41 cases (including one affected parent) was calculated and corrected for the target size of the human exome (24.75 Mb).

Conversely, for a gene to be considered down-regulated by σB, the binomial probability of observing as many reads as those observed for Δ sigB had to have q-values < 0.05 for each of the four possible combinations.

Binomial probability of observing x infected reads aligned to a base, out of n total reads aligning to that base, estimated based on the HMM described in the text, and median corrected induction (log2 scale) for each class (see Methods for details).

We calculated the significance of this (potential) module preferring the type 1 combination as the binomial tail probability of observing at least m1 successful experiments in n experiments, each of which had a success rate of P k.

Finally, we calculated the binomial tail probability of observing n of the 7390 mRNAs containing target sites of all k miRNAs in this group as the statistical significance of this group of miRNAs.

Based on zero-inflated binomial models, the probability of observing perch larvae increased from approximately 20% in low AV habitats to nearly 100% in dense AV habitats (pseudo-R2 = 0.54).

The probability under the heterozygous model was calculated as the binomial probability of the observed counts assuming a probability of 0.5 for each allele.

Given a pool with s of n reads with the alternate allele, we used the binomial distribution to compute the probability of observing s or fewer successes in n trials with success probability.