Suggestions(1)
Exact(2)
In order to generate statistically robust results (independent of data and prediction errors) we did not analyze single gene expression patterns but argue on groups of correlated genes.
The investigation of single gene expression patterns as determined by RNA blotting or quantitative reverse transcriptase PCR have been used to understand how different temporal, developmental, and physiological processes affect gene expression.
Similar(58)
The collective expression signature of a group of 150 genes was highly correlated with tissue instability, although no single gene expression pattern was absolutely predictive of instability.
Typically, a single gene expression pattern generated at the start of the simulation is used for all individuals as the birth state.
For each host gene cluster and each single host gene, expression patterns were compared to the expression of predicted targets.
Gene expression analysis of T-cell activation at a single timepoint has been reported [ 8, 9], and using a single donor sample, the gene expression patterns of T-cell activation with or without co-stimulation by anti-CD28 antibody were compared [ 10, 11].
Regardless of ER status and histological grade, most of the patients' tumors within a single subtype showed similar gene expression patterns.
Previous studies on elucidating the pathogen-host response of melioidosis had focused primarily on a subset of immune response genes [ 8, 9, 28- 30], however, analyses of single gene or limited gene expression patterns is insufficient to dissect the host response to infection globally.
The results further suggest that the publicly available microarray expression profiles from heterogeneous sources can be integrated into a single dataset for examining gene expression patterns across various tissues.
Regardless, our data suggests one possible model system for teasing out the effects of mutations in single genes on global gene expression patterns in cells cultured from in vivo models.
We expect the quantification technology will allow scientists to "see" individual mRNA transcripts inside a single cell and to elucidate gene expression patterns in specific phenotypes at different stages of tissue differentiation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com