Each cluster is composed of individuals from whom we can compute a centre value and hence, determine a similarity measure.
The distribution of this waiting time under random evolution is easily obtained and, therefore, we can compute a p-value for the observed survival time.
To our knowledge, no method can compute a p-value at the mRNA level (gene-level) from a single paired sample analysis of RNA-seq based-transcriptome.
However, we can compare the estimates and the mean of the individual measurements or we can compute a ppp-value using D (Y | θ ) = ∑ i (Y i − V i ¯ ) as a discrepancy statistic, V i ¯ being the mean of the individual measurements for the species i. Afterward, the residuals from the linear relationship residuals were checked using the previous method (seeing V ¯ as the data "species value").
Instead of computing separate Euclidean distances in the encrypted domain, users can compute a single packed value, which involves K distances, with the help of the service provider.
From (14), one can compute a user i, parameter value as follows: where.
With these asymptotic means and SEs, one can compute a t-statistic and P value for the comparison of two AUCs.
Using this equation, we can compute an upper bound on the P-value of observing s of n reads with an alternate alleles due to sequencing errors alone.
And if you're less mathematically inclined perhaps, you can ask, can I compute a good value in practice.
For in cases where we can compute the values of a function (or decide a problem) uniformly for the class of instances we are concerned with in practice, this is typically so precisely because we have discovered a polynomial time algorithm which can be implemented on current computing hardware (and hence also as a Turing machine).
