2012
JMLR
JMLR 2012
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
Abstract
Jstacs is an object-oriented Java library for analysing and classifying sequence data, which emerged from the need for a standardized implementation of statistical models, learning principles, classifiers, and performance measures. In Jstacs, these components can be used, combined, and extended easily, which allows for a direct comparison of different approaches and fosters the development of new components. Jstacs is especially tailored to biological sequence data, but is also applicable to general discrete and continuous data. Jstacs is freely available at http://www.jstacs.de under the GNU GPL license including an API documentation, a cookbook, and code examples. [abs] [ pdf ][ bib ] [ code ] © JMLR 2012. (edit, beta)
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Keyword Pioneer
— statistical classification
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Hot Topic Early Bird
— probabilistic modeling
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio