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In this study, the DNA methylome and transcriptome maps of brain samples generated from 5 SZ, 7 BD and 6 normal subjects were determined using methylated DNA immunoprecipitation and sequencing (MeDIP-seq) and high-throughput RNA sequencing (RNA-seq).
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samples generated from the GMM m x.
Degree, betweenness, eigenvector, and leverage centrality were compared using functional brain networks generated from healthy volunteers.
For simplicity, in the subsequent analysis, we adopt the brain connectivity matrix generated from the combination sample using the median statistics (i.e. the panel in the lower right corner of Fig. 1). Figure 2 shows a network visualization of this matrix, where edges correspond to matrix entries with values ≥ 0.5 or ≤ − 0.5.
First, 500 bootstrap samples were generated from the original sample.
RNA samples were generated from three independent biological replicates.
In total, 10 000 samples were generated from the assigned distribution.
Figures in bold denote peaks which completely separate the groups In the study of the terminal brains, spectra were generated from the two fractions (S1-soluble and S2-insoluble) in each of the TSE and uninfected brain samples.
The frame sample was generated from Scott's Canadian Medical Directory.
These data were generated from brain samples of patients with HD (n = 44 individuals) and unaffected controls (n = 36 individuals, matched for age and sex) [ 14].
For the present study cDNA previously generated from brain samples from healthy donors as well as bipolar and schizophrenic conditions were selected based on strong and weak HML-2 signal intensities in that 1 out of 5 samples for each condition had originally shown significantly weaker signal intensities [ 56].
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