The phrase "are many errors in" is correct and usable in written English.
It can be used when indicating the presence of multiple mistakes within a specific context, such as a document or a piece of work.
Example: "After reviewing the report, I found that there are many errors in the calculations."
Alternatives: "there are several mistakes in" or "numerous errors exist in".
The language of all the Old Prussian catechisms is rather poor: the translations are excessively literal, and there are many errors in language and orthography.
As a consequence, there are many errors in the sampling frame which will result in low response rates, and non-response bias.
Table 4 Participants' opinions on teachers' error correction priority If there are many errors in your writing, what do you prefer your instructor to do? Response frequenciesa 1st-year students (N = 21) 2nd-year students (N = 23) 3rd-year studeNts (N = 20) Total average (a) My instructor should correct all errors.
"There have been many errors in this campaign," said Congressman Antero Flores-Araoz, once president of the Popular Christian Party, which is part of Ms. Flores's movement.
If there are very long equations which spill over to the subsequent line(s), be sure to triple-check that these formulas were published completely and correctly in the past, there have been many errors in this regard which had to be fixed manually, republished, rechecked, and sometimes re-edited and re-published again!
There are many other errors in the text, perhaps foreshadowed by wrong dates for a half-dozen battles on the map at the beginning of the book.
Using the in vitro method, 3 out of 8 sequenced clones were found to contain haplotype 2. However, haplotype 2 was not noticeable as there are many sequencing errors in the multiple sequence alignment.
Figure 3A shows that the precisions of all the algorithms are around 0.5-0.6 0.5-0.6ll ~ 1.0, indicating that therecall many switch errors in the predictions and the quality of assembled haplotypes are not much different from picking phases randomly.
There are many potential errors in biomarker analysis related to sampling, biological variations (eg, seasonal, diurnal and food intake), analyte features, assay format and parameters, 19 which can confound results.
However, since it is clear that many reads aligned to more than one annotated copy it is likely that there are many assembly errors in members of this family, especially at the consensus sequence level, due to regions of high similarity.
No journalist will ask why there are so many errors in the data, even after the government spent nearly a year analyzing the data before its release.
