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SIMON: Open-Source Knowledge Discovery Platform
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AI
DOI：10.1016/j.patter.2020.100178.png)
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摘要
En 中文
Data analysis and knowledge discovery has become more and more important in biology and medicine with the increasing complexity of biological datasets, but the necessarily sophisticated programming skills and indepth understanding of algorithms needed pose barriers to most biologists and clinicians to perform such research. We have developed a modular open-source software, SIMON, to facilitate the application of 180+ state-of-the-art machine-learning algorithms to high-dimensional biomedical data. With an easy-touse graphical user interface, standardized pipelines, and automated approach for machine learning and other statistical analysis methods, SIMON helps to identify optimal algorithms and provides a resource that empowers non-technical and technical researchers to identify crucial patterns in biomedical data.
Keyword:
MACHINE LEARNING APPLICATIONS
SALMONELLA-TYPHI
MASS CYTOMETRY
EXPRESSION
PREDICTION
VACCINE
IMMUNE
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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.4
论文数:
954
被引数:
4.9K
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