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We hypothesized that colorectal cancer cells either from in vitro samples (the cell line models) or from in vivo samples (the clinical samples) share common epigenetic alterations, which are epigenetic changes responsible for the development of an OxPt-resistant phenotype.
All samples share common sequencing features: they were sequenced using the Illumina HiSeq 2000 platform and a paired-end protocol (2 × 101 bp) for a total of about 60 million reads each.
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The stress strain curves of both samples share several common features, i.e. high yield stress, relatively low work hardening and sufficient tensile elongation.
All three discourse samples share a common theme, namely the future or state of New Caledonia, and are part of an overarching research project, comprising data from 110 responses to an online questionnaire, various excerpts from downloaded texts and interviews with Kanak indigenous people, conducted during a field trip in September 2015.
Each sample is subjected to the Kolmogorov-Smirnov test of fit to the corresponding normal distribution [ 22]. (We generate a random sample of the same size as the observed sample from a normal distribution with the same parameters. The Kolmogorov-Smirnov two-sample test is then invoked. The null hypothesis is that the observed and simulated samples share a common underlying distribution).
The advantage of this approach is that more generalized sequence-independent characteristics can be extracted from the sequence derived structural and physicochemical properties of the multiple samples that share common functional or interaction profiles irrespective of sequence similarity.
We found that all three samples shared a common set of mutations (for example, ATM, BRAF and del[11q]), indicative of a common ancestor of the CLL and HS, consistent with the IGHV analysis.
While the two samples shared some common peaks, the spectra were different, with some peaks unique to each sample.
In contrast, the PBMC samples, shared 6 common miRNAs with plasma microvesicles (miR-223, -484, -191, -146a, -16, and -26a).
The tumor samples shared some common methylation sites, while the overall methylation patterns were distinct.
Motif and pattern recognition methods define a bicluster as samples sharing a common pattern or motif.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com