Extended tools

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Search PyPI Search. Latest version Released: May 7, Navigation Project description Release history Download files. Project links Homepage. Maintainers vonNiklasson. Project description Project details Release history Download files Project description Extended networkx Tools Python Package for for visualizing and converting networkx graphs. Introduction This package was created for the purpose of examining bidirectional graphs with respect to its convergence rate and edge costs.

Installation pip install extended-networkx-tools Documentation extended-networkx-tools. Creator Contains tools to create networkx graphs based on given parameters, such as randomly create an empty graph based on a number of nodes, or specify precisely the coordinates of nodes and the edges between them.

Analytics Has tools for analysing the networkx object and extract useful information from it, such as convergence rate, neighbour matrix, its eigenvalues. Solver Used to find simple greedy solutions to a connected graph taken from graph theory. The current approaches are: path : Adds edges as a path from the start to end node cycle : Adds edges just like the path, but also one edge from the start to end node. We propose the Microarray Analysis MiCA tool that outperforms other similar tools both in terms of ease of use and statistical features requiring minimal input to conduct an analysis.

MiCA is an integrated, interactive, and streamlined desktop software for the analysis of microarray gene expression data. MiCA consists of a complete microarray analysis pipeline including but not limited to fetching data directly from GEO, normalization, interactive quality control, batch-effect correction, regression analysis, surrogate variable analysis and functional annotation methods such as GSVA using known existing R packages.

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