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This is a c-library that provides tools for advanced
analysis of electrophysiological data. It features
denoising, unsupervised classification, time-frequency
analysis, phase-space analysis, neural networks, time-warping and
more.
This is a MATLAB toolbox for the quality control and scoring of EMAP and SGA genetic interaction data. It includes a graphical user interface and some automatic plot-generating tools.
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Geographic restrictions, eligibility, and terms apply.
Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).
MADR is a framework for analysis of series of images (2D data) where each pixel position have the same meaning in every image. Based on a statistical analysis, the images can then be visualised together with parameters from the analysis.