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A systematic analysis of the expression of ARSs and AIMPs (ARSN) indicates that these proteins are associated with cancer, and a network model identifies some of the links between ARSN and 123 first neighbour cancer-associated genes.
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Our model identified some key miRNAs including hsa-miR-489, hsa-miR-325, hsa-miR-876-3p and hsa-miR-2117 hsa-miR-2117 hsa-miR-2117 and NS of H1N1, respectively.
Post-hoc modelling identified some structural refinements based on modification indices and a slightly revised model was proposed.
Several studies both in human and based on mouse models identified some regions of human chromosome 21 (Hsas1) as linked to cognitive deficits.
Annotation of several published models identified some missing information that could not be found in the native spreadsheets (see Inconsistencies, Supplementary Material).
The new modeling analysis, conducted by PATH in partnership with Johns Hopkins University, drills down into our best-performer model and identifies some of the new tools and approaches that can help reach those targets.
The model also identifies some key questions that should be amenable to study in the current trials.
The model identifies companies with price-to-sales multiples below 1.5.
Peters, L. A. et al. A functional genomics predictive network model identifies regulators of inflammatory bowel disease.
The model identifies those products that should be produced nonreactively together with their optimal production levels.
Chen, H. J. et al. A recellularized human colon model identifies cancer driver genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com