Your English writing platform
Discover LudwigExact(20)
The five values from each sample were compared between all samples of the same type, i.e. 20 values per sample type, to form an average value and standard deviation.
The top 50 ranked clonal insert NC values of each sample were compared to all other samples using dynamic time warp (dtw package) or the Kolmorogov Smirnov test (ks.dist function) as a measure of difference between samples (with the R package, function dist takes as input the list of NC values and the method chosen - DTW -).
Gene expression data of each sample were compared to the CupPrint database.
RNA-seq reads of each sample were compared and mapped against the chameleon mRNA sequence compendium.
Genotypes for each sample were compared to the molecular fingerprint - a set of 26 markers typed using the Sequenom platform - to eliminate the possibility of arraying errors.
Further, ratios of test:control peaks and control:control peaks for each sample were compared with normal individuals included in each run (Bunyan et al, 2004).
Similar(40)
Each sample was compared with P-FePc-py-CNT in a hybrid H2/O2 fuel cell.
Each sample was compared with the corresponding interval to identify regions that showed non-random variation frequencies (Figure 2A).
To identify the binding media, the relative percentage content of amino acids in each sample was compared to those from a dataset of samples of egg, casein and animal glue.
Each sample was compared to the standard sample B-190 of the same run.
To diagnose symbiont identity, the DGGE fingerprint for each sample was compared to ITS2 standards of known nucleotide sequences.
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