Search Results for "ml"

...It comes with a large number of modules, encompassing the whole modeling cycle: creating computational models, simulating and analyzing them, visualizing the information, in order to improve the models. All using community standards, such as SED-ML, SBML and MIRIAM.

please cite: An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC: miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data. BMC bioinformatics 2014, 15(1):275. We will create index for you if you tell us your interested plants (j.an@qut.edu.au).

A Java library to facilitate SED-ML support for systems biology applications to read, validate, edit, and write SED-ML documents in compliance with MIASE guidelines. Also contains modules to execute simulation tasks and produce outputs. This project also contains the SED-ED editor application for SED-ML.

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...

CySBGN adds support to Cytoscape to import, export, visualize and analyse System Biology Graphical Notation (SBGN) maps.

...Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. Association for Computational Linguistic

Adamant is a java application for annotation of microarray array designs. The software enables MIAME-compliant annotation of sequences spotted onto arrays and can produce output files in MAGE-ML and other data formats used by public microarray data repos

In order to facilitate standardization and exchange of microarray layout, this project provides an ADF (Array design File))/MAGE-ML converter.