Sentence examples for most datasets have from inspiring English sources

Most datasets have <1% error rate across the length of the read.

To determine the functional similarity between two datasets, each value is first transformed to a log ratio against the average across all datasets: (7) This normalizes against the fact that certain biological processes are inherently more apparent in most high-throughput data (e.g. most microarray datasets have strong signals for processes such as translation).

Most QSAR datasets have a biological or toxic endpoint that is stored in the dataset.

Most of these datasets have been manually curated and re-processed.

In addition, most of our datasets have a relatively low number of missing taxa and in all cases, the proportion of sampled species is more than the 80% level recently proposed as a threshold [ 54, 56].

Since most of our datasets have fewer than 20 samples per group, at significance level of 10−5, the statistical power is <20% (i.e.<20% of the true DV genes are discovered by our procedure).

This is also what makes the TIES data unique, as most existing European datasets have too few young adults of migrant descent to fully capture their life course decisions.

Most simulated datasets had some genotypes that were not resolved at or above the specified confidence levels (N = 33 and 30 datasets under thresholds 0.90 and 0.60, respectively).

To correct for the large class imbalance present in most datasets, we have normalized the actual rate with the expected rate in each dataset, by taking into account the specific class distribution.

It seems that immunologists empirically know that their data have small within-group variance and large between-group variance (c.f. Figure  2b), and most of immunological genomic datasets have no more than duplicate or triplicate (e.g. Immunological Genome Project [ 4, 5]).

We go on to explain that most of the papers in our datasets have very few citations.