Sentence examples for biological differential from inspiring English sources

Exact(3)

Despite increasing usage of gene set analysis methods [ 4], single-gene based identification algorithms for differentially expressed genes (DEGs) still dominate the practice of biological differential gene expression analysis [ 6- 9] from microarray data.

Unfortunately the relatively small degree of legitimate biological differential expression between the pre-and post-treatment tumour biopsies provided little opportunity to assess the relative performance of UHRR and pooled batch calibrators on the consistency of reported differentially expressed probes.

For the remaining 141 genes whose trees do not directly reflect a single origin, there are causes other than LGT from prokaryotes to eukaryotes that can readily account for the lack of observed eukaryote monophyly, the two most obvious of which are computational (phylogenetic parameters) and biological (differential loss).

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The most commonly used models for GRNs inference based on Boolean networks, Bayesian networks, dynamic Bayesian networks, association networks, novel two-stage model using integration of a priori biological knowledge, differential and difference equations models are detailed and their inference capabilities are compared.

A downstream biological response, differential upregulation of intercellular adhesion molecule (ICAM -1, was measurable usICAM -1orescence microscopy in the air–liquid interface human lung cell cultures even though the dose per culture was 0–100 lipopolysaccharide (LPS)-containing elemeasurablebon particles (52 pg LPS per 6.3 μm diameter particle).

They are not helpful for finding biological significance differential coexpression gene disease-related modules.

Since sequencing was done without biological replicates, differential expression probability was estimated using simulated 5 technical replicates.

Without having a comprehensive understanding of these additional biological influences, differential roles of Pfn isoforms in BCC motility in a true sense may be difficult to assess.

We also evaluated the changes in true and false positive rates with variations in biological replicates, differential fold changes, and expression levels in non-exonic regions.

Despite the fact that miRNAs are critical regulators of diverse biological processes, differential regulation of miRNAs to the extent observed in our analysis is very surprising.

Again, it appears as a key "evo" factor responsible for the biological fitness (differential reproduction) which stemmed from modest and compassionate merit all along humans' egalitarian past.

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