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We used Cuffdiff (v2.2.0) (Trapnell et al., 2010) to calculate RNA-seq based gene expression levels using the FPKM metric (fragments per kilobase of exon per million fragments mapped) then identified differential gene expression between the two cell types at FDR < 5%, >twofold difference in gene expression based on average FPKM, and minFPKM > 0.1.
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** Statistically significant differences by log-rank testing. 1 Kaplan-Meier analysis of 64 patients stratified by microarray-based gene expression levels using Affymetrix HuGeneFL microarrays.
We quantitatively investigated the phenomenon of non-additivity by comparing the microarray-based gene expression levels of the two nascent allohexaploid wheat lines at two successive generations against the empirically measured MPVs (see Methods).
Genes were analyzed based on gene expression levels and categorized into different functional groups based on the description of the Gene Ontology (GO) consortium to identify statistically significant terms.
However, this classical observation is mainly based on the morphological or histological perspective, and no cell classification system based on gene expression levels has yet been systematically established.
When there are sufficient samples, similar genes can be determined based on Pearson correlation coefficient which considers the linear correlation and is computed based on gene expression levels.
These findings support prediction (3), albeit based upon gene expression levels in white muscle tissue, whereas the up-regulation of signaling genes in small fish were previously based upon liver microarray findings [ 29].
The resistance index, however, was based upon gene expression levels prior to drug treatment, and a drug-induced activation of the DNA repair response would therefore not be detected.
On the other hand, our data was based on gene expression levels as measured by RT-PCR.
Hierarchical clustering of sequenced samples based on gene expression levels was drawn using the cummeRbund package (http://rgm3.lab.nig.ac.jp/RGM/R_package_list).
Principal component analysis of samples based on gene expression levels was performed in GeneSpring using a separate analysis from the differential expression analysis.
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