Your English writing platform
Discover LudwigExact(4)
Group and subsample tests indicated that a little and non-significant bottleneck occurred during the domestication.
During the subsampling (n = 100), we identified 28 genes that were consistently detected in more than 10 subsample tests, and 2 genes (AREG and ESR1) were detected as DE in more than 50 subsample tests.
The subsample tests had been developed for avoiding this potential statistic bias and achieving the more detailed results.
The genetic drift analysis and both the group and subsample tests showed a lower level of genetic diversity in the wild populations (Table 2).
Similar(55)
In the ID subsample, test-retest reliability was analyzed by means of the intraclass correlation coefficient (ICC, average measures, two-way-random) and Student's t-test for paired samples (domain averages).
Whereas the hypothesis that a true aDNA library is ancient was never rejected, the hypothesis that a modern library has ancient origin could be rejected only when sufficient number of sequences were used for the subsample test (in tests with more than 300 reads the median empirical p-value was always below 0.05).
(a) Randomly spaced subsampled test and speech signals, (b) restored test signal by baseband DPSS-based DET and restored speech signal by bandpass DPSS-based DET, and (c) convergence behaviours of 5 different random sampling patterns (left: test signal, right: speech signal).
As is well known, the following three methods are often used to examine the quality of a predictor: independent dataset test, subsampling test, and jackknife test [62].
A sequence with less than 50 amino acid residues is generally deemed as a fragment In statistical prediction, the following three methods are often used to examine the quality of a predictor: independent dataset test, subsampling test, and jackknife test [64].
Subsampling test [ 50], also named k-fold cross-validation, is another widely used cross-validation method.
Also, as demonstrated by (28)–(30) in [ 2], the subsampling test (or K-fold cross-validation) cannot avoid arbitrariness either.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com