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An SUVref filter was computed for each individual dataset, and the mean filter size across all repeats for a given reconstruction protocol applied to those datasets for the analysis.
Second, to determine the effectiveness of mixing instances of cyber hate across protected characteristics in improving classification of individual types of hate speech, we drew a random sample from each individual dataset (race, sexuality and disability) and combined the samples into a single dataset for training.
Modeltest was run for each individual dataset.
First, for each individual dataset (both ALS and healthy controls), the anatomical T1-weighted scan was placed into standard space and grey and white matter were segmented.
These were reprocessed uniformly and combined into a single training dataset: First, signal intensity was normalized within each individual dataset using Robust Multi-Array Average (RMA) analysis.
In order to minimize the possibility that there are experimental batch effects that associate with OS within each individual dataset, we performed unsupervised hierarchical clustering in each of the 4 datasets.
The effect of this individual cut-off threshold on the group clustering was examined by repeating the individual clustering stage with 3 different settings of rc, being 0.3, 0.4 and 0.5, resulting in 3 clustermaps for each individual dataset.
First, an independent component analysis (ICA) of the resting-state data was performed and 60 spatio-temporal independent components were extracted from each individual dataset using the MELODIC FSL software (MELODIC v4.0; FMRIB Oxford University, UK).
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These either create a merged dataset of features (genes) common to all datasets and perform a GSA or apply GSA on each individual datasets and then combine the resulting GSA statistics or P-values to produce a ranked list of gene sets (Montaner and Dopazo, 2010; Shen and Tseng, 2010; Tyekucheva et al., 2011).
As slopes and intercepts for the different samples show no significant differences, chromatic aberrations can be corrected for each individual embryo dataset internally.
As with each individual patient dataset, patient data were inherently clustered within the 13 different studies.
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