Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
Figure 8 Workflow for "Leave-One-Out" analysis: First a regression dataset is generated from a CSV file with UUID and molecular descriptor input data for each molecule ( IN QSAR ) and a CSV file containing the UUID of the molecule and the corresponding output (regression) value ( IN RTID ).
In this study, the golden negative dataset is generated from Swiss-Prot database version 57.3 according to four criteria: (1) protein sequences annotated with uncertain subcellular location terms were removed.
Similar(58)
For this test, a synthetic dataset was generated from 81 Hungarian Datum points.
In 3B, the entire dataset was generated from large numbers of fluorophores that had blinking and bleaching properties.
This dataset was generated from our previous work to simulate a hydrated DPPC system in NaCl and KCl solutions [23].
The first dataset, was generated from PBMC samples taken from 57 CFS patients and 75 healthy volunteers and had previously been reported [8].
An allelic expression dataset was generated from the HapMap panel of LCLs from CEU, YRI and CHB unrelated individuals (total of 150 individuals).
Though the initial dataset was generated from the samples of European descent only, ExprTargetDB will hold the results assayed from other HapMap populations.
A unique dataset was generated from the "highlight" data class; thus, removing all directly copied retweets.
The simulated dataset was generated from human transcriptome and 12 viral genomes (Supplementary Methods).
Each dataset was generated from a different biological experiment using two-color Agilent cDNA arrays.
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