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Under this distribution model, we calculated neuron-specific p-values against each regulatory signature using the entire EntrezGene as the background, with each p-value representing the likelihood of a specific signature enriched in the neuron.
At the very least, their quantization would have to be chosen non-uniformly and adaptively, such that each bin has about equal mass under this distribution.
Under this distribution Where p I (DATA) is the distribution under independence between observed allele numbers, and given by the product of two beta-binomial distributions, that is (21) Then (22) where is defined in the Appendix.
Under this distribution, specific values of s and t are constrained to be positive, so that mutations are assumed to be deleterious to both sexes, and each locus evolves to equilibrium at mutation-selection balance, with the disease allele at a minor frequency.
Similar(53)
To correctly use RTD results, it is necessary to understand the conditions under which this distribution remains stable.
The score used as a criterion to select genes was the empirical CIC Correlation Information Criterionn), which takes the correlation between the identified set of genes and the exposures and removes the 99th percentile of this distribution under the null.
The main modeling method used was MAXENT, a machine-learning method that estimates a species' distribution across a study area by calculating the probability distribution of maximum entropy subject to the constraint that the expected value of each feature under this estimated distribution should match its empirical average [50].
All genes with larger counts than expected under this null distribution were considered to be significantly association with the resistance phenotype.
The Maxent model is a probability distribution selected by maximizing the entropy subject, which is constrained in that the expected value of each environmental variable under this uniform distribution should match the empirical value [ 51, 52].
To this end, one will depend on the characterizations of this distribution which provide conditions under which the underlying distribution is indeed that particular distribution.
The observed ALE scores from the actual meta-analysis of experiments activating within a particular cluster were then tested against the ALE scores obtained under this null-distribution yielding a P-value based on the proportion of equal or higher random values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com