Johns Hopkins University
Advanced Reproducibility in Cancer Informatics
Johns Hopkins University

Advanced Reproducibility in Cancer Informatics

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Candace Savonen, MS

Instructor: Candace Savonen, MS

Advanced level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Enhance reproducibility and replicability of data analyses

  • Introduction to reproducibility tools

Details to know

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Assessments

7 quizzes

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There are 8 modules in this course

This section describes the rationale and context for this course as well as its target audience.

What's included

3 plugins

This section defines reproducibility for the purposes of this course.

What's included

1 quiz1 plugin

This section discusses how to get started with creating branches and pull requests on GitHub.

What's included

1 quiz1 plugin

In this section we discuss the responsibility of an author of a pull request in code review.

What's included

1 quiz1 plugin

In this section we discuss the responsibility of a reviewer of a pull request in code review.

What's included

1 quiz1 plugin

This section walks through how to get started with Docker.

What's included

1 quiz1 plugin

This section describes how to modify an existing Docker image

What's included

1 quiz1 plugin

This section describes the motivation for using automation tools to enhance reproducibility.

What's included

1 quiz1 plugin

Instructor

Candace Savonen, MS
Johns Hopkins University
9 Courses1,918 learners

Offered by

Recommended if you're interested in Data Analysis

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