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This model is combined with a simple seat model to construct a simplified 3-D human body seat interaction model for naval architects to investigate the integrated interaction system when subjected to ship motions.
Sex development is a complex process that requires the integrated interaction of a network of different endocrine and paracrine signaling pathways, transcription factors and steroid hormones, during a critical time period in embryogenesis.
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To reveal the modular structure of the underlying networks and functional organization the multitude of pathways reflected in such large-scale data types, various network partitioning methods have been used to detect either densely- or similarly-connected clusters as well as significantly-repeated motifs in the individual or integrated interaction networks [21] [24].
The integrated protein interaction set comprises 13,494 human proteins and 43,637 unique interactions observed between these proteins.
This study elucidates the chemoresistance-associated pathways retrieved from the integrated biological interaction networks and identifies signature genes relevant for chemotherapy resistance.
Databases like SGD, BioGRID and several papers describe the function and interaction of the individual kinases, but there has so far not been an made an integrated interaction networks of these four key protein kinases that unite all key nutrient and energy sensing STPs in S. cerevisiae.
We constructed an integrated interaction network by combining protein-protein interactions, signal transduction maps and metabolic pathways in mouse as described previously [31], [32].
Using an integrated interaction database, we extracted a human interactome comprising 9,495 proteins and 70,083 interactions.
Combining such different networks into an integrated interaction network allows for studies of complex relationships between multiple interaction types.
We employ a graph-based random walk algorithm in an integrated interaction network to mine expression data for modules of genes associated with cancer outcomes.
Predictive multi-scale models; Feedback mechanisms to prompt new data generation (remote observations and measurements); Methods for integrated interaction between data, parameters, models and visualized results ("fine tuning" experiments, computational steering); New approaches for decision support when model outcomes result in various scenarios.
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