Your English writing platform
Discover LudwigSuggestions(5)
Exact(2)
To carry out multi-array expression analysis for rice, normalised data from all 366 rice microarrays, representing 129 biological samples, were collated together and a probeset was considered to be expressed in a particular tissue/sample if at least 2 replicates for that sample showed statistically significant present calls (p < 0.05) [ 28].
The normalised data from all 373 microarrays (Table 1), representing 136 biological samples were collated together and a probeset was considered to be expressed in a particular tissue/sample if all replicates for every sample showed statistically significant present calls (p < 0.05).
Similar(58)
Prior to the analysis, the geometric mean of processed four technical replicates (i.e., four hybridization with twice Cy3-labeled and twice A647-labeled) for each biological sample was collated as a single-channel dataset (Additional file Additional file 6: Table S4) and features were excluded if more than 50% of data was filtered out.
QC data obtained over a 3 month period during the analysis of 27 different batches of patient samples were collated for statistical evaluation.
Biological samples were collected in polypropylene vials.
Already biological samples are collected from everyone who serves in the armed forces.
The sample was collated from the ICU discharges in 2014 and 2015, identifying those patients who were readmitted within 48 hours of discharge.
A list of the genotypes for each sample was collated and PHASE [ 28] was used to infer missing haplotypes.
In total, three naïve biological samples, four nonaddicted biological samples, and two addicted biological samples were produced for subsequent analyses.
Biological samples are complex in nature.
Microarray studies fulfilling these biological criteria were collated from a survey of five major gene expression repositories (GEO [ 4], ArrayExpress [ 5], SMD[ 8], RAD [ 9] and CIBEX [ 10]).
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