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For microarray assay, we sacrificed one mice of different stage of development: one day after birth mouse (neonate) and fifty days after birth mouse (adult).
To confirm that absence of lhx1 affects expression of the kidney genes found in the microarray assay, we injected 300 pg of lhx1-AS into 8-cell embryos (1xV2) and fixed them at stage 32 for in situ hybridization.
Using a tissue microarray assay, we found that Btk is overexpressed in prostate cancer tissues.
In the microarray assay, we employed the GCRMA normalization method [ 49] and a Bayesian z-score measure as detailed in [ 55].
For the microarray assay, we observed a significantly lower diagnostic sensitivity (62% vs. 96%, p < 0.0001, Table 2) whereas the specificity was equal (99% vs. 99%, p = 1.0) compared with a previous study [ 20].
In order to extract useful information from the massive amount of gene expression data obtained by microarray assay, we employed a gene set enrichment analysis approach in the present study.
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Based on our microarray assays, we identified 63 genes that were differentially regulated between 3937 and WPP96.
Combining computational predictions with microarray assays, we identified 46 B. mori miRNAs, 13 of which were miRNA*s.
In conclusion, combining computational predictions with microarray assays, we identified 46 B. mori miRNAs, 13 of which were miRNA*s.
Using three datasets based on physical interaction assays, genome-wide RNA interference (RNAi) screens and microarray assays, we identified 714 putative DENV-associated mosquito proteins.
To understand how Tag-Seq compares with microarray assays, we compared expression data generated from the same human sample assayed by both Tag-Seq and by an Affymetrix Human Genome U133 Plus 2.0 microarray (supplementary fig. 1, Supplementary Material online).
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