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The network phase composed of poly 2-vinylpyridine) was first crosslinked with 1,4-diiodobutane and then the matrix poly 2-vinylpyridinelyisoprene was degraded by ozonolysis to obtain "firststanding" double gyroid network texture in whicrosslinkedsets of netwiths are interlaced without contacts with one another in vacant space via their grain boundary connections.
These different statistical properties of our synthetic and empirical networks are specially interesting for the validation process: Since the list of similarities between the two sets of networks has been reduced to the desired inter and intracommunity structural properties, any agreement we may find on the behavior of cooperation dynamics can be safely attributed to these mesoscopic features.
We first referred to two sets of networks obtained by the network screening [ 5- 7] and the network inference [ 10, 11].
Therefore, a change in a gene's degree between two sets of networks is not necessarily related to either an increase or decrease in its expression level, but instead suggests changes in its regulatory control.
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We developed two sets of network diagrams.
A comparison of the two sets of network distances is shown in Figure 4A.
Therefore, the bounded fold changes of the full gene lists and the verified gene lists of Pre, TvN, and Meta were first imported into IPA to obtain six sets of networks.
To gain a comprehensive perspective of the HNSCC transcriptome, three sets of networks generated from the IPA analyses with the full gene lists as inputs were parsed and merged into three staged interacting networks, representing the Pre, TvN, and Meta progressive states of HNSCC.
The bounded fold changes of the full gene lists and the verified gene lists of three comparisons, Pre, TvN, and Meta, were imported into the Ingenuity Pathways Analysis (IPA) Software (Ingenuity Systems, Redwood City, CA, USA) to obtain six sets of networks for further analyses.
In addition, all 1114 polymorphisms included in MelGene were submitted to SNAP (http://www.broad institute.org/mpg/snap/) (14), yielding another six sets of networks.
For synthesis of the controller, we propose two sets of neural networks: the set of action networks captures the mapping between the state and control, while the set of critic networks captures the mapping between the state and costate.
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Justyna Jupowicz-Kozak
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