Exact(1)
The setting of the module was expanded; Ravenloft is now a demiplane (an alternate dimension).
Similar(57)
The underlying set of the module and its operation must form a group.
A module consists of a choice of ring, another set, usually distinct from the underlying set of the ring and called the underlying set of the module, an operation on pairs of elements of the underlying set of the module, and an operation which takes an element of the ring and an element of the module and returns an element of the module.
Both the gene set and the sample set of the module are exclusive from those of external modules, leading to small values of X g and X s.
For the first module, the set of nodes in the module is denoted as RE m and the set of nodes to be released (or 'un-fixed') is denoted as Δ, where the size of Δ is N_R, a value chosen according to criteria described below.
Recall that the set of DECOB modules, without subsequent application of the ranking procedure results in substantially larger number of genes and modules (see the DECOB row in Table 1 and 2).
(3) (4) To obtain precision recall curves, we iteratively calculated the precision and recall values, each time extending the set of considered modules by the next highest-ranking module.
Particularly, assuming the robot will work by utilising a finite set of robotic modules, the algorithm determines the set of modules to form the arm and the ones to be allocated in the robot storage for possible usage over time.
As in the original Active Modules algorithm, the aim is to find the set of non-overlapping modules with the highest total score.
where p c - p-values for overrepresentation of miRNAj in C differentially expressed (up- or down-regulated in a comparison) or differentially coexpressed modules p i - p-values for overrepresentation of miRNAj in all n modules High S score indicates high specificity of the miRNA for the set of modules.
Conversely, weighted between-module connectivity calculates how strongly a node is connected to other nodes outside its own module: in which refers to the weighted participation coefficient of node i, M is the set of modules m calculated with the modularity algorithm described above, is the weight of links between i and all nodes in m, and is the weight of all links in the network.
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