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Artificial Intelligence in Bioinformatics

Course Cover

4.5

(2)

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Course Features

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Duration

3 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

2 hours per week

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Teaching Type

Self Paced

Course Description

Learn about the application of AI, machine-learning, and deep learning in bioinformatics

This course will provide an overview of the basics of AI and how it is used in bioinformatics.

This course will explore the use of AI, machine learning and deep learning concepts in designing and discovering drugs and for modeling complex biological systems.

Learn more about AI-based bioinformatics

Artificial intelligence (AI), is changing the field of bioinformatics.

This course will teach you how to collect, analyze, and model bioinformatics data with AI.

Learn how to extract and analyze bioinformatics data using public resources, then use AI to model and analyse this data to improve your understanding of key biological processes.

Find AI applications in bioinformatics research such as genome sequencing

You'll learn about the artificial intelligence and bioinformatics industries and how they are used in bioinformatics to interpret biological data mathematically and provide statistical information. This course will help you to understand the different aspects of AI-based bioinformatics research.

For bioinformatics, build your AI toolkit

This course will equip you with the AI skills and knowledge you need to use AI in practice.

You will learn how to build visualisation and data analytics techniques that can be applied to bioinformatics datasets. Also, you'll explore new machine learning concepts such as feature engineering and feature-learning.

When you finish the course, you will be required to organize and summarize data results in order to publish a paper in bioinformatics.

Course Overview

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Collect and explore bioinformatics data from public resources

Apply different AI models in bioinformatics data to understand a variety of biological processes

Develop a standard framework for AI-based bioinformatics study that can be applied to different datasets

Summarise and report the results to generate a bioinformatics paper for publication purpose

Target Students

This course is designed for any student, biologist, or researcher who would like to learn the basics of using AI to study bioinformatics data

Course Instructors

Le Nguyen Quoc Khanh

Assistant Professor

Dr. Khanh is an Assistant Professor with the Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taiwan.

Course Reviews

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