Search Results for "matlab classification learner"

hctsa is a Matlab software package for running highly comparative time-series analysis. It extracts thousands of time-series features from a collection of univariate time series and includes a range of tools for visualizing and analyzing the resulting time-series feature matrix.

Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats.

GoIFISH has been developed for the analysis of IFISH (Immunofluorescence + Fluorescence in situ Hybridisation) images, performing nuclear, membrane and spot detection. Users can manually edit segmentation results, perform background adjustments, construct heatmaps, topology maps, and perform cell classification. All results can be exported for further analysis. GoIFISH has been developed in MATLAB, however binaries are provided to run the program outside of the MATLAB environment. Source code is also available for download. To cite this software: "GoIFISH: A system for the quantification of single cell heterogeneity from IFISH images" Trinh A, Rye IH, Almendro V, Helland A, Russness HG, Markowetz F May 2014

CS-Miner stands for Chemical Space Miner and is a software tool for navigating in chemical space of compound databases. It helps for deriving appropriate classification models and performing virtual screening. Download it via: http://csminer.com/csm/?p=7 A quick tutorial is available through: http://csminer.com/csm/?p=8

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).

The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.

ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.