Search Results for "matlab text classification"
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Showing 7 open source projects for "matlab text classification"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony. -
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Sequencia
Protein Primary Sequnece Analysis
...SEQUENCIA Tool is an offline Tool of Primary Sequence Analysis, which is quite prevalent Topic for Researchers all over the world. Sequence Name, Sequence Length, Absorbance, Net charge, Iso electric charge, Amino acid composition, Amino acid classification, Aliphatic Index, Instability Index, Average Hydropathy etc are the Primary Sequence Analysis related Attributes for which this Tool exist. This work includes all the Physiochemical Properties- related to Primary Sequence Analysis under a common platform. JAVA, BIOJAVA were used under Platform Independent architecture. The Tool includes Properties of being offline where result can be stored in Text Format, here we can paste more than one sequence and also upload FASTA file to compute Parameters. -
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CRUMp
A probabilistic prediction system of protein phosphorylation sites
CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format. -
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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.
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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).
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