Sentence examples for both methods using an from inspiring English sources
As a simple statistical comparison one can compare the mean rank from both methods using an independent two sample t-test.
Here we present a comparative analysis of 4C-Seq data generated by both methods, using an enhancer element of Pou5f1 gene in mouse embryonic stem (ES) cells.
Using the aforementioned data set, we evaluated both methods using a cross-validation scheme where in each iteration the images of one video were used as the test set and the rest of the images were used as the training set.
We fit the likelihood for both methods using a Nelder-Mead maximization procedure and use 576 starting values in order to ensure that we reach the global maximum.
It has to be taken into account that the ratios are calculated in both methods using a different set of peptides, usually much larger for iTRAQ.
For both methods, using a subset of the TLR3 pathway produced by contextual selection, keeping into account the specific biological context, yielded P-values lower by one order of magnitude with respect to the generic implementation.
Both methods used an individual tree growth model to project changes in forest structure.
Both methods use a dispersion model to describe transport in the mobile phase in the column.
Both methods used a GTF file generated from combining both the most recent Ensembl annotation and the identified set of lincRNAs.
Both methods use a non-contact temperature measurement device to detect the infra-red energy emitted from a specific body site at temperatures above absolute zero (-273°C).
