Sentence examples similar to construct a model based on binomial distribution from inspiring English sources

Again, logit models based on binomial distributions (z-scores, Generalized Linear Mixed Model) were used to model binary decisions [33] by our listener responses (i.e., the listeners' /ɡ/ or /k/ response).

DESeq implements a model based on negative binomial distribution; this model was developed with special attention to coping with biological variance and was run under R release 2.15.2.

DESeq uses a model based on the negative binomial distribution to analyse count data from high-throughput sequencing projects.

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.

Both packages provide statistics for determining of differential expression in digital gene expression data using a model based on the negative binomial distribution.

DESeq provides statistical routines for determining differential expression in digital gene expression data using a model based on the negative binomial distribution.

DEGseq provide statistical routines for determining differential expression in digital gene expression data using a model based on the negative binomial distribution.

Our model is based on binomial distribution, and input requires only an estimate (or range of estimates) of gene frequencies of variants (including mutations).

To estimate the significance of the redefined endpoints, an enrichment test is constructed based on binomial distribution, but not with an interval estimate due to the nonlinear, and discrete relationship between cutoffs and gene expression profile.

By adapting a model based on a negative binomial offspring distribution that permits a variable degree of transmission heterogeneity, we present a unified analysis of existing R0 estimation methods.

Because relationship between cutoffs and gene expression profile is neither simply linear nor continuous, the new cutoffs were not given as in interval estimate, and instead an enrichment test is constructed based on binomial distribution.