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To examine whether the t(1 11)(q42.1;q14.3) translocation exists in Taiwanese samples, we constructed a plasmid probe that carried the two DNA fragments of chromosome 1 (738 bp) and chromosome 11 (719 bp) that covered the breakpoint.
In order to gain further insight on gene expression with respect to correlations between BC samples, we constructed correlation maps as previously reported [30].
To investigate whether we could identify similarities between the microbial populations in the throat, stomach and fecal samples, we constructed a phylogenetic tree based on the RDP sequences representing the pyrosequencing reads (Fig. 3a).
For further identification of the evolutionary history of the samples, we constructed a phylogenetic tree using Bayesian inferences (BI) approaches.
To investigate the performance of HMCan on cancer samples, we constructed a simulated ChIP-seq dataset for a fictional histone mark.
To assess the efficiency of the normalization process for metatranscriptome samples, we constructed two cDNA libraries, one normalized and the other non-normalized.
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In order to identify the functional transcription factors and microRNAs that potentially cause the differences in gene expression between androgen-dependent and -independent samples, we construct a matrix that contains 239 rows representing differentially-expressed genes and 899 columns representing 335 PWMs and 564 microRNAs, respectively.
Using two similar aerial small-footprint LiDAR campaigns over a four year interval, spanning ca. 20 km2, and concomitant ground sampling, we constructed a model relating median canopy height and AGB at a 0.25-ha and 1-ha resolution.
For visual comparison of the variety of eggshell colour stimuli sampled, we constructed a 3D-tetrachromatic conceptual diagram of the individual chromatic stimuli for each reflectance spectrum (see Figure 1), using the full spectral sensitivities for the 'average' ultraviolet-sensitive avian eye as tabulated by Endler & Mielke [31].
After selecting a high-quality reference sample, we constructed paired sets representing intensity differences between target and reference samples using the paired sample editor in BeadStudio 3.2.
Based upon the discriminant analysis-derived prediction scores for each sample, we constructed ROC curves [ 35, 36] to evaluate the performance of our plasma protein panel for distinguishing flare from quiescence samples.
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