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The five detection methods are applied to experimentally observed DNA microarray data taken from the Gene Expression Omnibus online database by NCBI, NIH, 10 to detect genes (probes) which have 24-hour periodicity, or 'circadian rhythm'.
One-color microarray data taken from normal and cancer cells were transformed into (vitual) two-color microarray data and then used as input for the identification of differentiated expressed genes using HTself.
Finally, in the third integration scenario, one-color microarray data taken from normal and cancer prostate cells [ 55], also available from GEO under the accession number GSE17906, were analysed to find differentially expressed genes using a RGUI implementation of HTself [ 56], a self-self based statistical method for low replication microarray data.
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In this study, we utilized microarray gene expression data taken from two data sets found in NCBI GEO (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi acc=GSE50195, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi acc=GSE29801) database in order to examine pathways that are affected by AMD.
Fold change indicates mRNA expression levels in gut and carcass, comparing wild type versus nub mutant, data taken from the microarray data in Additional files 5 and 8 unless other wise indicated.
Data taken from [ 80].
All hormone microarray data was taken from the MAS5-processed NASC Microarray database (Nottingham Arabidopsis Stock Center [ 44]) data.
The microarray data is taken from several studies, as is shown in Table 1.
To illustrate the features and functionality of BMDExpress, microarray data were taken from a study of hepatic gene expression changes in zebrafish following exposure to 17 α-ethynylestradiol (EE2) (ArrayExpress Accession No. E-TABM-105) [ 23].
Microarray raw data was taken from the Feature Extraction output files and was corrected for background noise using the normexp [ 75] method.
Thereby, the complete microarray data is taken into account.
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