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机器学习与系统生物科学

Machine Learning and Systems Biosciences
课程网址: http://videolectures.net/solomon_dzeroski_mlsb/  
主讲教师: Sašo Džeroski
开课单位: 约瑟夫·斯特凡学院
开课时间: 2011-01-10
课程语种: 英语
中文简介:
演讲将讨论最近在机器学习和数据挖掘领域引起广泛关注的两个主题,即结构化输出预测和基于约束的数据挖掘。它将提出一些针对这些主题的最新开发方法。它还将讨论这些方法在系统生物科学领域中的应用,即系统生物学和生态学。系统生物学的示例应用包括基因功能预测,预测基因对应激的反应以及分析来自基因组和化合物筛选的图像数据。生态应用包括根据卫星图像预测森林等生态系统的状态,根据环境数据预测生物群落的组成以及根据图像分类进行分类。
课程简介: The talk will discuss two topics that have recently attracted a lot of attention within machine learning and data mining, namely structured-output prediction and constraint-based data mining. It will present some recently developed approaches addressing these topics. It will also discuss applications of these approaches in the area of system biosciences, namely systems biology and ecology. Example applications from systems biology include gene function prediction, predicting the response of genes to stress and analyzing image data from genome and compound screens. Ecological applications include predicting the state of ecosystems, such as forests, from satellite images, predicting the composition of biological communities from environmental data and taxonomical classification from images.
关 键 词: 机器学习; 数据挖掘; 系统生物学
课程来源: 视频讲座网
最后编审: 2019-09-21:cwx
阅读次数: 53