Module enumeration offers a meaningful way to detect such variations of complexes.
While previous approaches use approximations to extract dense modules, our approach exactly solves the problem of dense module enumeration.
The contribution of our article consists in (i) the development of a dense module enumeration (DME) algorithm for weighted networks, including a ranking scheme and an efficient strategy to identify locally maximal modules, (ii) its application to the protein interaction networks of yeast and human and (iii) the effective integration of constraints from additional data sources.
Words were his only guides in that great chaotic enumeration.
Since this spot enumeration module is not included in the standard CellProfiler distribution, we implemented the analysis pipeline in the Developer's Version of CellProfiler, running on Matlab 2008a.
The core module, preferably based on complete enumeration, will cover a limited range of key data required by national policy-makers and for sample frame construction.
Structural analysis provides insights into global properties of the network, among them decomposition of the network into functional modules (e.g., [ 2]), enumeration of signaling paths connecting arbitrary protein pairs (e.g., [ 3- 5]), and the identification of key pathways that determine the behavior of the network (e.g., [ 2, 6- 10]).
We apply a machine learning module based on an eXtended Semantic Enumeration (XSE) tree to activate linguistic tests from semantic, syntactic, and pragmatic analyses during the traversal of the tree.
Our algorithm does not identify this substrate cycle, because cytosolic malic enzyme groups with mitochondrial pyruvate carboxylase and malate dehydrogenase only near the parent module (# 141,802), which is too large for EFM enumeration.
We have developed a novel algorithm Iterative Clique Enumeration (ICE) for identifying relatively independent maximal cliques as co-expression modules and a module-based approach to the analysis of gene expression data.
RV were obtained by marking Ki67-positive and negative tumour cell profiles, using a stereological method for 2D object enumeration [ 14, 15] implemented by the Stereology module (ADCIS, Caen, France) with a test grid of systematically sampled frames (frame size - 125 pixels, spacing of frames - 250 pixels) overlaid on a spot image in ImageScope (Aperio Technologies, USA), Figure 1.
