Sentence examples for binomial distribution to determine from inspiring English sources

Exact(4)

DESeq uses a model based on the negative binomial distribution to determine significance and was developed specifically to meet the challenges of working with RNA-Seq data.

Macroparasitic infections usually follow a negative binomial distribution [ 41] and we first fitted a negative binomial distribution to determine the aggregation parameter k for each parasite species and used this in the subsequent generalized linear model (GLM).

EdgeR transforms the gene expression count data to pseudo count values using a quantile-to-quantile normalization, followed by an exact test for a negative binomial distribution to determine differentially expressed genes.

We used a negative binomial distribution to determine the number of F2 offspring assigned to each F1 fish (including 0; see histogram in top-right corner of panel B in this box).

Similar(56)

A p-value for each word (representing the probability of obtaining a score at least as high as the one observed [ 51]) is calculated by using a binomial word distribution to determine the probability of obtaining at least o repeats in the s input sequences that contain w.

A statistical approach relying on the binomial distribution allows to determine the lowest contamination level that can be ruled out with 95% confidence considering the proportion of contaminated NTCs in an experiment, and the number of all-negative controls that are necessary to exclude a certain theoretical contamination level (Figure S1) [58].

We calculated the probability of hitting a similarly-sized locus in the zebrafish genome and then used a binomial distribution test to determine the statistical significance of each targeted locus being hit twice.

We used an identical model for all classes, which was fitted using a negative binomial distribution to take into account overdispersion.

For many other efficient codes, we have to fit the parameters of a model (e.g., the binomial distribution) to the distribution of gaps in the index.

We can use the binomial distribution to solve the problem.

Frequency distribution was compared to binomial distribution to evidence the phase separation and atom clustering.

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