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LE helped to design the study, carried out the GWAS, bioinformatic analysis, haplotype analysis, pathway-based and literature analyses, obtained the expression data and conducted expression analysis and drafted the manuscript.
We obtained the expression profiles for the 282 differentially expressed genes from the 158 patients selected, and employed SIRENE to infer the regulatory network for this dataset.
Using a flow cytometer, we then measured the YFP expression levels from ~10,000 cells and obtained the expression histograms depicted in Fig. 3.
We took a whole-genome approach and obtained the expression profiles of induced (−Tet) EBRTcH3 ES cells expressing Chd1l-shRNA or NS-shRNA and uninduced (+Tet) ES cells that did not express shRNA.
By examining the expression profiles of the host genes across 79 human tissues [22], we obtained the expression profiles of 71 miRNAs in these 79 human tissues (Supplementary Text S2).
The expression of miRNA in PIP and HP (PIP-60 and PIP) were normalized to obtained the expression of transcript per million.
A.G. Dempster obtained the expression of GDOP for two-dimensional AOA scenarios [28].
This study obtained the expression profiles of genes and alternatively spliced transcripts.
After averaging the duplicate probes to gene, filtering the low intensity genes and quantile normalization, we obtained the expression profiles of 11,271 genes in 350 DLBCL patients.
Using stable isotope/liquid chromatography-based mass spectrometry, we obtained the expression profiles of more than 1200 proteins in the MCF10AT model of breast cancer progression.
We obtained the expression level of the human genes in normal tissues from the ArrayExpress database, E-GEOD-803 processed file, GEO accession GSE803 [49].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com