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Showing 21 open source projects for "method"
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JavaParser
Java 1-17 Parser and Abstract Syntax Tree for Java
...While JavaParser generates an Abstract Syntax Tree, JavaSymbolSolver analyzes that AST and is able to find the relation between an element and its declaration (e.g. for a variable name it could be a parameter of a method, providing information about its type, position in the AST, etc). When choosing open source technologies it is important to know your choice will be rewarded by continuous support. The JavaParser community is vibrant and active, with a weekly release cadence that supports language features up to Java 12. -
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OptiMIClass
Automatic n-dimensional data clustering tool powered by five advanced
This software is an automatic n-dimensional quantitative data clustering tool based on five optimization heuristics (GA, PSO, ACO, SA, and TS). It enables performance comparisons across heuristics and parameter testing within each method, analyzing solution quality, runtime, and convergence; it also includes a repository of benchmark test tables and an intuitive interface for research and operational use. It was developed by M.Sc. Jeffry Chavarría-Molina and M.Sc. Juan José Fallas-Monge at the Instituto Tecnológico de Costa Rica (TEC), School of Mathematics, with support from the Vice-Rectory for Research and Extension (VIE). ... -
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DataPrep
Python-based data preprocessing tool
DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal... -
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AtomProbeLab
Matlab-based analysis of Atom Probe Data
...For more information see the Wiki: https://sourceforge.net/p/atomprobelab/wiki/Home/ Quick overview video: https://youtu.be/8rJHce7M5UU More in-depth video using the APT school demos live script: https://www.youtube.com/watch?v=cyrLHCzZwuw For details of the maximum likelihood method used to solve peak overlaps see the following papers: https://doi.org/10.1017/S1431927616012782 and https://doi.org/10.1017/S1431927618016276 for the quantification of the uncertainty. If you are looking for Dan Haley's "weights" program, go here https://sourceforge.net/projects/apttools/files/extras/ -
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Data Preprocessing Automate
Data Preprocessing Automation: A GUI for easy data cleaning & visualiz
Data Preprocessing Automation is a Python-based GUI application designed to simplify and automate data preprocessing tasks. It allows users to upload Excel files, automatically handle missing values, remove duplicates, and detect and remove outliers using statistical methods. The application provides data visualization tools, including box plots for distribution analysis and scatter plots for exploring relationships between variables. Users can download the processed data for further... -
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BDS
Blockchain data parsing and persisting results
JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before... -
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MS Data Miner
MS Data Miner - A web-based proteomics software
Data processing and analysis in proteomic studies is a significant challenge and very time consuming. MS Data Miner (MDM) is a freely available web-based software to analyze, process, validate, compare, and display output files from MS software, including Mascot (Matrix Science), Mascot Distiller (Matrix Science) and ProteinPilot (AB Sciex). It was developed to significantly decrease the data analysis time and to handle large proteomic studies. This open sourced system includes a spectra... -
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Random Bits Regression
Random Bits Regression is a strong general predictor.
We proposed an accurate, robust and fast general predictor (RBR) for regression and classification in big data era. The application of this method is very broad, from science to industry, finance and health. The accuracy and robustness improvement of our method over existing method could bring huge benefits in some critical applications. For example, natural disaster prediction, stock price prediction, personal/population disease prediction. The fast-speed nature of our method not only allows big data analysis but also enables real-time recognition and predictions. ... -
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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
...Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining. -
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ChEnMTD
Calculate the number of theoretical trays with McCabe-Thiele method
Use the McCabe-Thiele method to calculate the number of theoretical trays in a distillation column operated under the conditions specified. It has tools for data analysis to obtain empirical or semi-empirical equilibrium models. You can even use cubic splines. This project uses icons of "Open Icon Library" https://sourceforge.net/projects/openiconlibrary/ -
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ETU SQL for MySQL
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for PostgreSQL: https://sourceforge.net/projects/etusqlforpostegresql/ -
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ETU SQL for MS SQL Server
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also : 1) ETU SQL for MySQL: https://sourceforge.net/projects/etusqlformysql/ 2) ETU SQL for Oracle: https://sourceforge.net/projects/etusqlfororacle/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ 4) ETU SQL for PostgreSQL: https://sourceforge.net/projects/etusqlforpostgreSQL/ -
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EXIMS
EXploring Imaging Mass Spectrometry data
EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. -
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ETU SQL for Oracle
Powerful tool for data analysis and editing
Changelog (Version 7 - Update 1) New Discard Partialy Changes New Edit Row in Window New List of User Connections New Show Image on Form New Quickly View of Cell Values Download also: 1) ETU SQL for MS SQL : https://sourceforge.net/projects/etusqltango/ 2) ETU SQL for MySQL : https://sourceforge.net/projects/etusqlformysql/ 3) ETU SQL for DB2: https://sourceforge.net/projects/etusqlfordb2/ Damián Ezequiel Ortiz - 2014 -
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PythonStatsLab
A collection of useful statistical functions written in Python
...These functions would come in handy to anyone taking introductory or intermediate-level courses in probability, statistics and data analysis. There are several numerical integration techniques (Riemann sum, Simpson's method, Taylor expansion, etc.) that can be employed in this task, which I hope to add soon. Projected Future Improvements: -Estimation with 2 means -Student's t-distribution -Hart's algorithm for integrating CDF -
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BriPy
A BRIC-seq data analysis package written in Python.
-What is BRIC-seq? BRIC-seq, short for 5'-bromo-uridine (BrU) immunoprecipitation chase-deep sequencing analysis, is a novel method in Next Generation Sequencing (NGS) to determine the RNA stability of each transcript. It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. ... -
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GUI for DEDA
GUI for DEmography Data Analysis
<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy. -
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AntiSensePolyAFinder
A antisense polyA search tool for SAPAS data analysis
To find more details about the correlation level between sense and antisense transcripts to depend on gene expression levels, we used our SAPAS data to develop a method to analyze antisense polyA. -
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