Exact(4)
Remarkably, such a modular response to hybridization not only characterizes the shape of each module, but also its size.
The occurrence of this covariation in the particular case of hybrids suggests of a process ensuring the adjustment of parts made independent by the modular response to hybridization.
A better understanding of the rules of development underlying the relationship between the modular response to systemic changes in signaling and associated phenotypic variation is required to inform clinical research on craniofacial disorders as well as investigations into the patterns of evolutionary developmental change of cranial phenotypes.
In the context of a modular response to hybridization, expectations would be further (3) to document a contrasted pattern of differentiation between hybrids and parents depending to the module; this should lead (4) to even more pronounced transgressive patterns in structures composed of several modules in comparison to those composed of a single module.
Similar(55)
Such a modular size response to hybridization can contribute to produce new mandible morphologies without involving shape changes of each one of the modules.
A modeling framework based on the modular response analysis (MRA) was developed to build a simulation model for the EGFR signaling pathway [ 44].
The highly modular structure of chloroplast metabolism is possibly a prerequisite for a higher photosynthetic efficiency because a high modular structure can response to environmental or internal changes in a more coordinated and robust way.
A network-based modular approach was adapted to incorporate dynamic transcriptome data with protein-protein and protein-DNA interactions in the Negative-Positive Networdernalysis in order to identify modular activity in response to catabolite repression.
We propose a computational algorithm which combines a deterministic network inference method termed Modular Response Analysis (MRA) and a statistical model selection algorithm called Bayesian Variable Selection, to infer functional interactions in cellular signaling pathways and gene regulatory networks.
EWS-FLI1 may also be associated with other cofactors on particular modular response elements, such as on the Serum Response Element in cooperation with SRF [29], [30], or on composite ETS-AP-1 tandem elements [31].
In this paper, we propose a network inference algorithm which combines modular response analysis with Bayesian variable selection techniques.
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