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像素之外的生命：HCS的机器学习和图像分析方法Life beyond the pixels: machine learning and image analysis methods for HCS |
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| 课程网址: | http://videolectures.net/icgeb_horvath_image_analysis_methods/ |
| 主讲教师: | Peter Horvath |
| 开课单位: | 匈牙利科学院 |
| 开课时间: | 2019-06-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this talk I will give an overview of the computational steps in the analysis of a single cell-based high-content screen. First, I will present a novel microscopic image correction method designed to eliminate vignetting and uneven background effects which, left uncorrected, corrupt intensity-based measurements. I will discuss the Advanced Cell Classifier (ACC), a software tool capable of identifying cellular phenotypes based on features extracted from the image. It provides an interface for a user to efficiently train machine learning methods to predict various phenotypes. We developed the Suggest a Learner (SALT) toolbox, which selects the optimal machine learning algorithm and parameters for a particular classification problem. For cases where discrete cell-based decisions are not suitable, we propose a method to use multi-parametric regression to analyze continuous biological phenomena. Finally, to improve the learning speed and accuracy, we recently developed an active learning scheme which automatically selects the most informative cell samples. |
| 关 键 词: | 像素之外的生命; 数据科学; HCS的机器学习和图像分析方法; 多参数回归分析; 高级细胞分类器 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-10-14：cyh |
| 最后编审: | 2022-11-29：liyy |
| 阅读次数: | 40 |