AI and Bioinformatics: Genomic Data Analysis
- Offered byFutureLearn
AI and Bioinformatics: Genomic Data Analysis at FutureLearn Overview
AI and Bioinformatics: Genomic Data Analysis
at FutureLearn
Develop your knowledge of AI in bioinformatics and learn how to use WEKA to advance your bioinformatics research and career.
Duration | 3 weeks |
Total fee | ₹2,205 |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
AI and Bioinformatics: Genomic Data Analysis
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
AI and Bioinformatics: Genomic Data Analysis at FutureLearn Highlights
AI and Bioinformatics: Genomic Data Analysis
at FutureLearn
- Earn a certificate from Taipei Medical University
AI and Bioinformatics: Genomic Data Analysis at FutureLearn Course details
AI and Bioinformatics: Genomic Data Analysis
at FutureLearn
Skills you will learn
More about this course
- This three-week course from Taipei Medical University follows on from the online short course 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.
- 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.
- 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.
- 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.
AI and Bioinformatics: Genomic Data Analysis at FutureLearn Curriculum
AI and Bioinformatics: Genomic Data Analysis
at FutureLearn
Feature Learning
Review of AI in Bioinformatics
Feature Learning
Deep Learning
Deep learning algorithm
Deep learning and bioinformatics
Weka and Deep Learning
Writing Bioinformatics Papers
Research Flowchart and Dabta Visualization
Bioinformatics Paper Example
Assessment Time
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