课程信息
5.0
12 个评分
4 个审阅
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为14 小时

建议:4-5 hours/week...
可选语言

英语(English)

字幕:英语(English)
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为14 小时

建议:4-5 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

The Library of Integrated Network-based Cellular Signatures (LINCS) Program Overview

This module provides an overview of the concept behind the LINCS program; and tutorials on how to get started with using the LINCS L1000 dataset....
Reading
8 个视频 (总计 78 分钟), 2 个阅读材料
Video8 个视频
The Connectivity Map8分钟
Geometrical View of the Connectivity Map Concept3分钟
LINCS Data and Signature Generation Centers12分钟
BD2K-LINCS Data Coordination and Integration Center4分钟
Induced Pluripotent Stem Cells (iPSCs)4分钟
Introduction to LINCS L1000 Data22分钟
L1000 Characteristic Direction Signature Search Engine (L1000CDS2) Demo13分钟
Reading2 个阅读材料
Syllabus10分钟
Grading and Logistics10分钟
完成时间(小时)
完成时间为 26 分钟

Metadata and Ontologies

This module includes a broad high level description of the concepts behind metadata and ontologies and how these are applied to LINCS datasets....
Reading
2 个视频 (总计 26 分钟)
Video2 个视频
Introduction to Metadata and Ontologies | Part 220分钟
完成时间(小时)
完成时间为 24 分钟

Serving Data with APIs

In this module we explain the concept of accessing data through an application programming interface (API)....
Reading
2 个视频 (总计 19 分钟)
Video2 个视频
Accessing and Serving Data through RESTful APIs | Part 210分钟
2
完成时间(小时)
完成时间为 19 分钟

Bioinformatics Pipelines

This module describes the important concept of a Bioinformatics pipeline....
Reading
1 个视频 (总计 14 分钟)
完成时间(小时)
完成时间为 1 小时

The Harmonizome

This module describes a project that integrates many resources that contain knowledge about genes and proteins. The project is called the Harmonizome, and it is implemented as a web-server application available at: http://amp.pharm.mssm.edu/Harmonizome/ ...
Reading
4 个视频 (总计 37 分钟)
Video4 个视频
Processing Datasets | Part 18分钟
Processing Datasets | Part 29分钟
Processing Datasets | Part 37分钟
3
完成时间(小时)
完成时间为 24 分钟

Data Normalization

This module describes the mathematical concepts behind data normalization....
Reading
2 个视频 (总计 19 分钟)
Video2 个视频
Data Normalization | Part 213分钟
完成时间(小时)
完成时间为 1 小时

Data Clustering

This module describes the mathematical concepts behind data clustering, or in other words unsupervised learning - the identification of patterns within data without considering the labels associated with the data. ...
Reading
3 个视频 (总计 33 分钟)
Video3 个视频
Data Clustering | Part 2 | Distance Functions 12分钟
Data Clustering | Part 3 | Algorithms and Evaluation15分钟
完成时间(小时)
完成时间为 2 小时

Midterm Exam

The Midterm Exam consists of 45 multiple choice questions which covers modules 1-7. Some of the questions may require you to perform some analysis with the methods you learned throughout the course on new datasets. ...
Reading
1 个测验
Quiz1 个练习
Midterm Exam30分钟
4
完成时间(小时)
完成时间为 29 分钟

Enrichment Analysis

This module introduces the important concept of performing gene set enrichment analyses. Enrichment analysis is the process of querying gene sets from genomics and proteomics studies against annotated gene sets collected from prior biological knowledge....
Reading
3 个视频 (总计 29 分钟)
Video3 个视频
Enrichment Analysis | Part 27分钟
Enrichr Demo9分钟
完成时间(小时)
完成时间为 1 小时

Machine Learning

This module describes the mathematical concepts of supervised machine learning, the process of making predictions from examples that associate observations/features/attribute with one or more properties that we wish to learn/predict....
Reading
3 个视频 (总计 27 分钟)
Video3 个视频
Introduction to Machine Learning | Part 2 8分钟
Introduction to Machine Learning | Part 39分钟

讲师

Avatar

Avi Ma’ayan, PhD

Director, Mount Sinai Center for Bioinformatics
Professor, Department of Pharmacological Sciences

关于 Icahn School of Medicine at Mount Sinai

The Icahn School of Medicine at Mount Sinai, in New York City is a leader in medical and scientific training and education, biomedical research and patient care....

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