Sentence examples for multiple network analyses from inspiring English sources

Multiple network analyses were then employed to quantitatively access the regulatory capacity, efficiency and emphasis of the miRNAs which dysexpression in MI were significantly reversed by propranolol.

Multiple network analyses were sequentially applied to evaluate the regulatory capacity, efficiency and emphasis of the miRNAs which dysexpression in MI were significantly reversed by propranolol.

Even then, however, the problem of redundancy and inefficiency might remain for example, there is already evidence that for some topics—such as anti-tumor necrosis factor (TNF) agents for rheumatoid arthritis there are already multiple network meta-analyses published by independent teams.

By utilizing an integrated approach that brings together multiple network-level analyses, we have created a compendium of important genes and pathways for future study.

The use of multiple network and pathway analyses to identify GOI aided in making our datasets manageable and revealed 2 distinct pathways, toll-like receptor/NF-κB signaling and JAK/STAT signaling, associated with post-TBI secondary neural injury.

The extent of diversity missed by RFLP analyses is clearly demonstrated by phylogenetic network analyses of sequences with multiple haplotypes found which were initially all assigned by RFLP as haplotype 77.

In yeast, links between MPT5 and filamentous-form cell differentiation are suggested by network analyses [2], [4] integrating multiple data sources.

Pathway and network analyses of these findings implicated multiple interesting biological pathways as well as stimulatory and/or inhibitory relationships among these genes.

Currently, we are working on the simultaneous syntheses of multiple sequential ligation sets; these sets were designed based on network analyses, such as transcriptome or metabolome studies.

There is evidence through drug-target network analyses that most currently used drugs have multiple targets and numerous off-target effects.

In contrast, transcriptional regulatory network analyses use a known binding motif to search multiple genomes and elucidate the composition of the regulatory network at different levels [ 42, 57, 58].