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Fifteen (68%) of twenty-two of the validated mutations were found to be expressed at the RNA level, which was strongly correlated with Affymetrix Genome-Wide HumArrayP 6.0 Array gene expression levels (R = 0.86) found in the RNA sequencing data.
This can be achieved by comparing by DNA array gene expression in cells growing in different microenvironmental conditions, then select the genes overexpressed in conditions of tumor growth.
Furthermore, the correlation between H3K9 acetylation and gene expression measured by qRT-PCR was considerably higher than between H3K9 acetylation and array gene expression (r = 0.74 vs. 0.42, respectively) (Figures 3C and 3D).
Finally, if expression levels rather than allele differences are used as predictors of cognitive processes, then inevitable questions for study replication arise concerning the lack of sensitivity and specificity of various array gene expression chips compared to RT-PCR.
For the EMC series, Agilent 44 K array gene expression data were available for 40 patients.
Agilent 44 K array gene expression data was available for 66 patients.
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The dataset includes 2 genotype arrays (Illumina Sentrix human Hap650Y genotyping beadchip and Affymetrix 500 K genotyping array), gene expressions (30,128 probes × 466 samples) and enzyme activities (10 activity measurements of 9 enzymes × 488 samples), and demographic information.
To determine the feasibility of RNA collection in a multi-institutional cooperative group setting to be utilized for micro-array gene expression analysis, and to describe the methodology.
Using a neural architecture, classifiers incorporating these risk-sensitive loss functions have been developed and their performance evaluated for two real world multi-class classification problems, viz., a satellite image classification problem and a micro-array gene expression based cancer classification problem.
Drawing on the example of this study, it will be interesting to mine ongoing genome wide studies of large samples characterised for cognitive abilities with further gene sets identified from micro-array gene expression experiments on models relevant to synaptic plasticity.
Using a similar strategy we compared micro-array gene expression data obtained from S. typhimurium extracted from macrophage cells [ 2].
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