AI and Bioinformatics: Genomic Data Analysis
Gain practical skills in using WEKA
This three-week course from Taipei Medical University follows on from the online short course ‘Artificial Intelligence in Bioinformatics’ to help you master AI techniques in the field of bioinformatics.
Through real-world case studies, such as the design and discovery of drugs, you’ll learn how AI and machine learning are transforming bioinformatics.
You’ll also gain practical skills as you learn how to use WEKA, a Java software with a collection of machine learning algorithms, to collect and analyse bioinformatics data.
Discover AI applications in bioinformatics research, such as genome sequencing
You’ll develop your understanding of AI-based bioinformatics research, including genome sequencing, protein function prediction, and gene expression examination.
With this knowledge, you’ll be able to interpret biological data and provide statistical information.
Understand a Convolutional Neural Network and other deep learning concepts
Next, you’ll explore the foundations of deep learning to understand how AI can process data in a way similar to the human brain.
You’ll delve into core concepts such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Natural Language Processing before unpacking their applications in bioinformatics.
Build your AI toolkit for working in bioinformatics
Finally, you’ll develop the knowledge and skills you need to apply AI in practice.
Mastering WEKA, you’ll learn how to use the tool to help with your professional research in bioinformatics. You’ll also gain the skills to write bioinformatics papers as you explore research flowcharts and data visualisation.
By the end of the course, you’ll have the skills to drive innovation in bioinformatics.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Explain the concepts of AI learning, machine learning, and deep learning, and how they are applied in bioinformatics.
- Analyze and visualize data for reporting the results of bioinformatics experiments.
- Write bioinformatics papers for publication.
- Be able to perfom Weka and read results for futther analyzation
Who is the course for?
This course is designed for any student, biologist, or researcher who would like to learn the basics of using AI to study bioinformatics data.
It follows on from our short course ‘Artificial Intelligence in Bioinformatics’ which we recommend taking first to develop your foundation of knowledge beforehand.
Do you know someone who'd love this course? Tell them about it...
Learners who joined this course have also enjoyed these courses.