Title: | AI and Bioinformatics: Genomic Data Analysis |
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Description
Gain practical skills in using WEKA
This three-week course from Taipei Medical University follows on from the online short course âArtificial Intelligence in Bioinformaticsâ to help you master AI techniques in the field of bioinformatics.
Through real-world case studies, such as the design and discovery of drugs, youâll learn how AI and machine learning are transforming bioinformatics.
Youâll 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
Youâll develop your understanding of AI-based bioinformatics research, including genome sequencing, protein function prediction, and gene expression examination.
With this knowledge, youâll be able to interpret biological data and provide statistical information.
Understand a Convolutional Neural Network and other deep learning concepts
Next, youâll explore the foundations of deep learning to understand how AI can process data in a way similar to the human brain.
Youâll 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, youâll develop the knowledge and skills you need to apply AI in practice.
Mastering WEKA, youâll learn how to use the tool to help with your professional research in bioinformatics. Youâll also gain the skills to write bioinformatics papers as you explore research flowcharts and data visualisation.
By the end of the course, youâll have the skills to drive innovation in bioinformatics.
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 âArtificial Intelligence in Bioinformaticsâ which we recommend taking first to develop your foundation of knowledge beforehand.
Get notified about new study groups every week!

AI and Bioinformatics: Genomic Data Analysis
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Type
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Provider
Gain practical skills in using WEKA
This three-week course from Taipei Medical University follows on from the online short course âArtificial Intelligence in Bioinformaticsâ to help you master AI techniques in the field of bioinformatics.
Through real-world case studies, such as the design and discovery of drugs, youâll learn how AI and machine learning are transforming bioinformatics.
Youâll 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
Youâll develop your understanding of AI-based bioinformatics research, including genome sequencing, protein function prediction, and gene expression examination.
With this knowledge, youâll be able to interpret biological data and provide statistical information.
Understand a Convolutional Neural Network and other deep learning concepts
Next, youâll explore the foundations of deep learning to understand how AI can process data in a way similar to the human brain.
Youâll 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, youâll develop the knowledge and skills you need to apply AI in practice.
Mastering WEKA, youâll learn how to use the tool to help with your professional research in bioinformatics. Youâll also gain the skills to write bioinformatics papers as you explore research flowcharts and data visualisation.
By the end of the course, youâll have the skills to drive innovation in bioinformatics.
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 âArtificial Intelligence in Bioinformaticsâ which we recommend taking first to develop your foundation of knowledge beforehand.
Get notified about new study groups every week!