The ideal validation of the accuracy of our algorithm would involve (i) constructing a connectivity matrix M using actual quantitative AP-MS data; (ii) predict direct interactions based on M using our algorithm; and then (iii) comparing our predictions to experimentally generated direct interaction data.
To define hubs using a mutual connectivity criterion, one may therefore construct a subgraph connectivity measure in the following way.
The simplest way is to construct a binary connectivity matrix.
The consumed network was multiplied by the transpose of the produced to construct a metabolite connectivity network.
Similarly, for multiple sample RNA-Seq data, we construct a multiple sample connectivity graph (MSCG G == (V, E) based on F sets of mapped RNA-Seq reads as follows.
To construct a consistent integrated connectivity map, it is necessary to modify the target specificity of certain projections (see Results, Table 2), that is, connection probabilities are modified to meet a given target specificity value.
Moreover, we constructed a semantic connectivity map to offer some insight regarding the complex biological connections between the studied variables and the two conditions (being MDS or control mother).
Using their MRI and DTI data, we constructed a structural connectivity network for each of the above 134 participants.
The network shown in Figure 4b has more energy, and SolarTC2 makes nodes v2,v4,v7, and v10 FT-nodes, and uses them to construct a backbone with 2-connectivity.
Indeed, an advantage of this construction-based approach is that during deployment, sensors can first perform simple topology control (using, for example, measurement power control) to construct a topology with simple connectivity-based properties.
