Showing 1174 open source projects for "data analysis"

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  • 1

    BioDare

    BioDare is Biological Data Repository focused on timeseries data

    BioDare (Biological Data Repository) was developed under the multi-site ROBuST project (http://hallidaylab.bio.ed.ac.uk/ROBuST.html) to support data exchange inside the project. It is a web application which allows data-sharing (including public dissemination), data-processing and analysis, with the main focus on time-series data produced in circadian experiments.
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  • 2
    DeDAY

    DeDAY

    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and...
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  • 3
    LExAu: Learning Expectations Autonomously. Library for on-line data driven statistical machine learning.
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  • 4

    locusvu

    Tool for genomics;automates data retrieval from db;enables workflows

    ...Ensembl) or to fetch information from other tables in the database. Thus, LocusVu provides a basic framework that can be used by users and developers alike in simplifying existing workflows and creating newer ones to support data analysis in genomics.
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  • 5

    TFAST

    Software for analysis of afSELEX-seq data

    Transcription Factor Analysis using SELEX with High-Throughput Sequencing (TFAST) is software developed by the Mobley lab at the University of Michigan designed to assist with transcription factor binding site discovery using data generated from aptamer-free SELEX-seq (afSELEX-seq).
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  • 6
    PipeDream is a *nix processing pipeline for analysis of large single or multi-modality neuro-imaging data sets. PipeDream is no longer being updated in this repository. Code will remain here as an archive of processing methods that were applied to published data using PipeDream. If you are looking for data organization and pre-processing code, please see the new version of PipeDream on GitHub: https://github.com/cookpa/pipedream It is still very much a work in progress but has dicom2series, dicom2nii, nii2dt. ...
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  • 7

    VariabilityAnalysisInNetworks

    An R package for identifying biologically perturbed networks

    The VAN package enables an integrative analysis of (i) gene expression data with protein-protein interaction networks or (ii) gene and microRNA expression data with microRNA-gene interaction networks to identify biologically perturbed networks.
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  • 8

    qcasoft

    Qualitative Comparative Analysis with Fuzzy Data in JAVA

    This software allows qualitative comparative analysis with fuzzy data. The program is based on the work of C.C. Ragin. For more information, see the following articles: * Ragin, C. C., 1987, The Comparative Method. Moving beyond qualitative and quantitative strategies, Berkeley/Los Angeles/London: Univ. of California Press. * Ragin, C. C., 2000, Fuzzy-Set Social Science, Chicago/London: University of Chicago Press
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  • 9
    Plinko was originally an experiment with Prefix Trees and log parsing. The general concept is to have a single end point you can send any data to, in a "fire and forget" fashion. Plinko should identify and parse the data completely without the sending system caring what it sent. The latest version supports named fields in the STL files for tagging data parsed in the Prefix Tree and anonymous functions for parsing dynamic message payloads. We now output JSON objects and I'm working on HBase...
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  • 10
    LAVA for AFM

    LAVA for AFM

    Lloyd's Algorithm-based Volumetric Analysis for AFM Images

    This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of...
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  • 11

    Flint

    Free Chromatographic Integrator

    Flint is a small Java based integrator for use on chromatography data. In time another project called Tinder will support a GUI for use together with Flint.
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  • 12

    noise-free-cnv

    program for analyzing and manipulating DNA microarray data

    CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls. With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...
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  • 13
    Myrtle

    Myrtle

    A simple programmable spreadsheet for learning statistics.

    ...Myrtle offers a unique bookmarking facility which allows students to create and reuse named references to their favorite cell ranges. This can help students focus attention on the important relationships among particular rows or columns of data. Myrtle's graphics and reporting features allow students to report back to their instructors their mastery of course content.
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  • 14
    ParaSim

    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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  • 15
    Niah (Statistical Disclosure Control)

    Niah (Statistical Disclosure Control)

    Niah supports k-anonymity statistical disclosure control assessments

    Niah is a simple java tool for use in statistical disclosure control risk assessments. It implements the k-anonymity model of disclosure risk for data in csv in format. This work was developed as part of a PhD project at the University of Glasgow and during an internship with the Scottish Government.
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  • 16
    DocCO

    DocCO

    Non-disjoint groupping of Documents based on word sequence approach

    This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.
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  • 17
    This is the prototype version of software for robust detecting and segmentation of cell nuclei in 3D fluorescence labeled microscopy images. First release coming soon...
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  • 18

    iBRAIN2 Workflow Manager

    A system for automated analysis and data handling for RNAi screens

    The iBRAIN2 software system for RNAi high-content screening integrates automated analysis and customizable data management. It enables robust and complex parallel processing on computer cluster infrastructure and allows for reliable storage of primary and resulting data sets.
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  • 19

    Patient Monitor

    Patient monitor showing actual and simulated data

    In intensive care units (ICU) patients vital signs are monitored. This is an attempt to build an interface which can show external and simulated medical data, to mimic these patient monitors. The motivation for this project are my experiments with building medical devices.
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  • 20

    cextools

    Command line helpers for Conexp files.

    Some small command line programs and a file parser for Concept Explorer (conexp) written in C++. Currently features include: Converters from concept explorer into PDF, PostScript, SVG and PovRay, a modified 3D Freese layout.
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  • 21
    OCIViz

    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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  • 22
    Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage
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  • 23
    MADS
    MADS (Multipurpose Agricultural Data System) is a free open-source tool for modelling and analysis of agricultural activities - crops, livestock, forestry and others - in developing countries, at sector, regional or project level.
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  • 24

    RCFPD

    Random Collection of Functions for Proteomics Data Analysis

    An R package for distribution of data analysis functionality used by the Proteomics Core at Weill Cornell Medical College in Qatar.
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  • 25
    Sharp Statistics

    Sharp Statistics

    A simple program for comparing data sets with simple algorithms.

    Replace the data in the data.db file with your own data using an sqlite3 manager. Tables are read as data set names, and the values are read as the data points of the data sets. Load the application, choose an algorithm, and the program will find the pairs that best match each other.
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