图 书 馆
计算生物学中的机器学习（频点法）Machine Learning in Computational Biology (the frequentist approach) |
|
| 课程网址: | http://videolectures.net/mlpmsummerschool2013_vert_computational_... |
| 主讲教师: | Jean-Philippe Vert |
| 开课单位: | 巴黎高科矿业学校 |
| 开课时间: | 2014-05-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | These lecture will introduce some general concepts and algorithms in statistical learning, illustrating them through applications in biology and personalized medicine. I will discuss linear methods in classification and regression, nonlinear extensions with positive definite kernels, and feature selection and structured sparsity. Application will include molecular diagnosis and prognosis in cancer, virtual screening in drug discovery, and biological network inference. Outline: Introduction to pattern recognition and regression for biology and personalized medicine Linear methods for regression and classification (OLS, RR, LDA, QDA, logistic regression, SVM...) Nonlinear extensions with kernels Feature selection and structured sparsity (lasso and variants) Application: cancer prognosis from genomic data Application: drug discovery Application: gene networks inference |
| 关 键 词: | 生物学; 个性化医学; 生物网络推断 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-12-10：zkj |
| 最后编审: | 2021-12-10：zkj |
| 阅读次数: | 55 |