Search Results for "classification" - Page 3
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Showing 115 open source projects for "classification"
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ViennaMesh provides an unified interface for various mesh related tools and can therefore serve as a flexible meshing backend for various applications which are in dire need for mesh generation, adaptation and classification.
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...Rho et al., "De novo identification of LTR retrotransposons in eukaryotic genomes", BMC Genomics (2007) 8:90. 2. M. Rho and H. Tang, "MGEScan-non-LTR: computational identification and classification of autonomous non-LTR retrotransposons in eukaryotic genomes", Nucleic Acids Research (2009) 37:21.
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Protdraw
Create portable, flexible domain drawings of protein sequences
...ProtDraw is accompanied by makeProtDraw, a helper program which runs hmmer3 on a specified set of hidden Markov models and formats results for ProtDraw. Highest-scoring domains are selected in cases of overlap. Domain drawings may be organized by sequence classification. -
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CAPE RNA
Classification based Analysis of Paired Expression data of RNA
CAPE RNA is package of command-line tools for integrated analysis of miRNA-mRNA expression data. miRNA-mRNA interaction states are assigned for each sample independent of a priori known experimental groups. Using these interaction classifications Jaccard-indexes are calculated to evaluate the quality of a predicted interaction based on the distribution of assigned interaction states compared to experimental groups. In addition, negative correlation between miRNA and mRNA expression can be analyzed. -
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
...Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
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Beryllium¹º is a program designed to facilitate the creation of group safety data sheets (GSDSs) for hazardous substances and processes. The created GSDSs fulfill the conditions of EG Nr. 1272/2008 (Globally Harmonized System of Classification and Labelling of Chemicals, GHS) and §20 Gefahrenstoffverordnung (German regulation and version of European Union Directive 67/548/EEC: Safety advice concerning dangerous substances and preparations).
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SecStAnT
Secondary Structure Analysis Tool for data selection and statistics
SecStAnT is a tool for the automatic creation of data-sets of structures from Protein Data Bank (PDB) with user-defined structural composition, and for the calculation of their internal variables distributions. SecStAnT is able to 1. Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives. 2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...) 3. Evaluate statistical distributions of internal variables: a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation) b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation) c. three variables correlations -
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ConoSorter
A Large-scale Cone Snail Transcriptome/Proteome Analysis Program
ConoSorter is a high-throughput standalone program that implements regular expressions and profile Hidden Markov Models (pHMMs) for large-scale identification and classification of precursor conopeptides into gene superfamilies and classes based on the ER signal, pro-, and mature conopeptide regions generated from raw next-generation transcriptomic or proteomic data. ConoSorter also generates a set of relevant additional information (frequency of protein sequences, length, number of cysteine residues, hydrophobicity rate of N-terminal region) and automatically searches ConoServer database to allow the user to assess the reliability and relevance of the results and to aid the identification of new conopeptide superfamilies and classes. -
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TMVA Toolkit for Multi Variate Analysis
A ROOT-integrated toolkit for multivariate analysis
TMVA is a ROOT-integrated toolkit for multivariate classification and regression analysis. TMVA performs the training, testing and performance evaluation of a large variety of multivariate methods. Since 2013, TMVA has been fully integrated with ROOT and is distributed as part of it. The new homepage of TMVA is https://root.cern -
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ECG2HRV
import and store ECG, associate to clinical data, automatic HRV
...v=AOzpNMC-FXU This multi-platform application will enable the user to import digital CSV ECGs at any sampling rate and store them in an encrypted local DB along with relevant clinical data of the patient. It also performs automatic QRS complex detection and RR interval classification showing the output in a visual chart that the user can edit to correct sources with artifacts or pats with bad detections. This project was developed using Netbeans 7.3 IDE. For further questions or feature requests please contact me at mamenarguez@ou.edu Please read wiki for initial setup -
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MyNook
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself. -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
...Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ... -
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CoVEC
Consensus Variant Effect Classification
The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the... -
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multipsq
Analysis of pyrograms form multiplex pyrosequencing experiments
...These primers generate a fingerprint-pyrogram which is constituted by the sum of all individual pyrograms originating from each primer used. MultiPSQ allows the analysis and classification of multiplex-pyrograms originating from various pyrosequencing primers. -
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MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
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ParsInsert efficiently produces both a phylogenetic tree and taxonomic classification for sequences for microbial community sequence analysis. This is a C++ implementation of the Parsimonious Insertion algorithm.
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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CallSim
low-volume read processing base corrector
CallSim is a software application that provides evidence for the validity of base calls believed to be sequencing errors and it is applicable to Ion Torrent and 454 data. CallSim provides a final classification or rescue of a base/indel in reads, where putative variants have been identified via typical SNP/indel workflows. plots rendered by: JFreeChart library http://sourceforge.net/projects/jfreechart/ -
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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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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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ThManager is a tool for creating and visualizing knowledge organization models, such as thesauri, classification schemes, glosaries and other types of controlled vocabulary in SKOS format
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Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
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Bioinformatics Perl extension for the analysis of antibody variable domain repertoires. Suitable for mammalian repertoire sequences obtained either by Sanger or 454 sequencing. Methods published in Glanville, Zhai, Berka et al, PNAS 2009.
