Search Results for "python data analysis" - Page 2
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Showing 115 open source projects for "python data analysis"
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QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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Text Analyzer
Text analyzing software
An application developed in C using the list and the AVL tree data structures, which analyzes a text (.txt file) giving the following information as an output: 1. the total occurrences of every word in the text 2. the exact line of every occurrence of every word 3. the exact position in the line of every occurrence of every word 4. the exact paragraph of every occurrence of every word 5. the exact sentence of every occurrence of every word The output is also written in a... -
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XNBC: neurobiology simulation tool
XNBC is a graphic application to simulate biologic neural networks.
XNBC is a full featured application for computer naive neuroscientists. It simulates biological neural networks using graphic tools to edit neurons and networks, to run the simulation and to analyze results. Written in C, it runs on Unix and Windows. Web site : http://ticemed-sa.upmc.fr/xnbc/ All recent versions are on this site. -
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wview is a unix application for weather stations. It archives weather data from the station. Generates full html web sites with graphics. ftp/ssh export capability. MySQL/PostgreSQL archiving. International. Weather alarms. Data feed. RSS feed.
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A scientific computing and data-handling library for C, providing functions on the same level as those of the typical stats package (OLS, probit, singular value decomposition, &c.). Written to facilitate writing fast and easy C code. The project has moved to https://github.com/b-k/Apophenia .
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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c4nhanes
command line tools for processing tab delimitted statistics
The national health and nutrition examination survey (NHANES) is done by the center for national health statistics. Data is made available for public use by this group for research; however, it is in a format that is not universible accessible. This provides the data in a simple format as well as a set of tools to manipulate the data. It can interface with open office and libreoffice using their csv filter. -
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ParaSim
Parallelized calculation of molecular similarities
Diversity assessments and comparisons of large compound databases require calculating similarities of millions of compounds in an affordable time. ParaSim addresses this challenge by parallelizing the calculations according to the number of computing cores available on a single machine. It is optimized for the throughput of very large numbers of query structures against very large numbers of reference structures. As as special feature, ParaSim allows to store and and to access frequently... -
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OCIViz
Visualize data from the opencellid.org project
Open-Cell-Id-Visualization (OCIViz) ========================= Tools to visualize and analyze opencellid data. Create Googlemaps overlays and statistics. http://www.opencellid.org/ Contains (2013-06) >60million datasets of celltower information worldwide. This project wants to find out: * how much data was gathered where * quality of the coverage * what can you do with the data (localization etc.) For more information on what works and todos, see the project wikipage:... -
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dbtesma
efficient data generation for benchmarks and performance analysis
Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies. -
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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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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files
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representation by relations vs data storage. pile unifies the contradicted qualities of tables/trees (databases) and complex networks, order and flexibility. dynamical data generation on call. fast. natively compressing similarities. search across scopes.
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Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
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This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
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A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
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Parsers for biological data based on scanner generators like Flex (C), Re2c(C), Jflex (Java) and Ifickle (Tcl). This scanner generators are providing easier maintainance, development and higher speed than hand written scanners. Scanner output is SQL.
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Refactored BLT Components (RBC), includes data vectors and graph widgets for developing line and bar graph applications in Tcl/Tk.
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RubyMoss is a Web - Based Framework written with Ruby on Rails, intended to support all analysis and data processing for Mossbauer Spectroscopy. Written under BSD License.
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PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
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Monte is machine learning in pure Python. Monte's focus is the construction of gradient based learning machines from many small components.
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Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.
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PyramidWorkshop is an image-compression System based upon the scientific work of John Robinson (inventor of BTPC) about image-compression with adaptive linear predictors and is in average more efficient than PNG/JPEG2000.
