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Mohammed Murtuza Qureshi
In this 2-hour long project-based course, you will learn how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation.
Read more
In this 2-hour long project-based course, you will learn how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation.
Read more
In this 2-hour long project-based course, you will learn how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation.
We will look at how to build a Bidirectional Gated Recurrent Units Neural Network which can predict the degradation for multiple scenarios at each of the base.
We will cover how to train the model and evaluate on a test set. We will then finally make predictions using the trained model and compare it with the original degradation rates.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/2p7ss9/covid
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What's inside
Syllabus
Project Overview
In this project, we will look at how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation. We will be using a Bidirectional Gated Recurrent Unit Neural Network. We will first look at how to build the model then train it and subsequently evaluate the model's accuracy and make the degradation prediction using it.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to build and train complex neural networks, which is a core skill for data scientists
Explores how to predict mRNA degradation rates through deep learning, which is a highly relevant healthcare application
Involves using BiRNNs, a powerful neural network architecture specifically designed for modeling sequences
Instructor Mohammed Murtuza Qureshi is a recognized expert in machine learning and deep learning
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Reviews summary
Informative overview of mrna vaccine degradation
According to students, this course offers a good overview of mRNA vaccine degradation. They say that it is a well-organized course with engaging lectures. However, some learners found the material to be a bit difficult.
Course is structured in a clear way.
"The course was very well-organized and easy to follow."
"I liked the way the instructor organized the material."
"The structure of the course made it easy to learn."
Lectures are informative and keep learners interested.
"The lectures were very engaging and informative."
"I found the lectures to be very clear and easy to understand."
"The instructor did a great job of keeping me engaged."
Course materials are challenging.
"I found the material to be a bit difficult."
"The material was a bit too challenging for me."
"I think the course would be more helpful if it was a bit easier."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in COVID-19 mRNA Vaccine Degradation Prediction with these
activities:
Review tutorials on recurrent neural networks
Show steps
Get a head start on the course material by reviewing tutorials that cover the basics of recurrent neural networks and their applications in mRNA degradation prediction.
Browse courses on
Recurrent Neural Networks
Show steps
-
Search for online tutorials on recurrent neural networks.
-
Watch videos and read articles to understand the fundamentals of RNNs.
-
Focus on understanding how RNNs can be used for time series prediction tasks.
Compile a glossary of key terms
Show steps
Creating a glossary will help you retain and clarify important concepts and terminology used in the course.
Show steps
-
Identify key terms and concepts from the course materials.
-
Write concise definitions for each term.
-
Organize the terms alphabetically or by category.
Engage in discussions with peers
Show steps
Exchanging ideas and perspectives with fellow learners can enhance your understanding and retention of the course material.
Show steps
-
Join online forums or discussion groups related to the course topic.
-
Participate in discussions by asking questions, sharing insights, and responding to others.
-
Organize or participate in virtual study sessions with classmates.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve practice problems on RNA degradation prediction
Show steps
Reinforce your understanding of the course concepts by practicing your skills in predicting RNA degradation rates using real-world datasets.
Browse courses on
Machine Learning
Show steps
-
Find online platforms or textbooks that provide practice problems on RNA degradation prediction.
-
Attempt to solve the practice problems using the techniques learned in the course.
-
Check your solutions against provided answer keys or consult with experts for feedback.
-
Identify areas where you need additional practice and focus on improving your skills in those areas.
Train the Bidirectional Gated Recurrent Unit Neural Network model
Show steps
Training the model will provide hands-on experience in using a neural network to predict RNA degradation rates.
Browse courses on
Neural Networks
Show steps
-
Load the training data
-
Build the neural network model
-
Train the model
-
Evaluate the model on the test set
Practice using machine learning libraries
Show steps
Hands-on practice with machine learning libraries will strengthen your ability to implement the models discussed in the course.
Browse courses on
TensorFlow
Show steps
-
Choose a machine learning library (e.g., scikit-learn, TensorFlow, Keras).
-
Work through tutorials and examples provided by the library documentation.
-
Solve coding challenges and practice problems.
-
Build small machine learning projects using the library.
Create a presentation on the project
Show steps
Creating a presentation will help you synthesize and communicate your understanding of the project.
Show steps
-
Gather your materials
-
Organize your presentation
-
Create your slides
-
Practice your presentation
Explore advanced concepts in machine learning
Show steps
Delving into advanced machine learning topics will enhance your understanding of the neural network models used in mRNA vaccine degradation prediction.
Browse courses on
Advanced Machine Learning
Show steps
-
Select a machine learning platform (e.g., Coursera, edX).
-
Enroll in courses on topics such as neural networks, deep learning, and natural language processing.
-
Follow video tutorials and complete hands-on exercises.
-
Participate in online discussions and forums.
Create a presentation on the applications of mRNA degradation prediction
Show steps
Expand your understanding by exploring the practical applications of mRNA degradation prediction and how it can be used to solve real-world problems in healthcare and biotechnology.
Browse courses on
Biotechnology
Show steps
-
Research the applications of mRNA degradation prediction in various fields.
-
Identify a specific application that you find particularly interesting.
-
Create a presentation that outlines the problem, the solution, and the potential benefits of using mRNA degradation prediction in that context.
Participate in machine learning competitions
Show steps
Participating in competitions will challenge you to apply your skills, enhance your problem-solving abilities, and network with other machine learning enthusiasts.
Show steps
-
Identify relevant machine learning competitions (e.g., Kaggle, DrivenData).
-
Form a team or participate individually.
-
Develop and submit machine learning models to solve the competition tasks.
-
Analyze results and learn from feedback.
Develop a prototype tool for predicting mRNA degradation rates
Show steps
Apply your knowledge by building a prototype tool that can be used to predict mRNA degradation rates for a given RNA sequence. You will gain hands-on experience in implementing machine learning models and creating user-friendly interfaces.
Browse courses on
Software Development
Show steps
-
Design the architecture of your tool, including the input and output formats.
-
Implement a machine learning model for mRNA degradation prediction using a programming language of your choice.
-
Create a user-friendly interface for your tool that allows users to input RNA sequences and receive degradation rate predictions.
-
Test your tool using a variety of RNA sequences and evaluate its accuracy.
Develop a machine learning model for predicting mRNA vaccine degradation rates
Show steps
Creating your own machine learning model will provide a comprehensive understanding of the concepts covered in the course and allow you to apply your skills to a real-world problem.
Show steps
-
Gather and prepare data related to mRNA vaccine degradation rates.
-
Choose and implement a suitable machine learning algorithm.
-
Train and evaluate the model using cross-validation.
-
Optimize the model parameters for best performance.
-
Deploy the model and make predictions on new data.
Review tutorials on recurrent neural networks
Show steps
Get a head start on the course material by reviewing tutorials that cover the basics of recurrent neural networks and their applications in mRNA degradation prediction.
Browse courses on
Recurrent Neural Networks
Show steps
Show steps
Show steps
- Search for online tutorials on recurrent neural networks.
- Watch videos and read articles to understand the fundamentals of RNNs.
- Focus on understanding how RNNs can be used for time series prediction tasks.
Compile a glossary of key terms
Show steps
Creating a glossary will help you retain and clarify important concepts and terminology used in the course.
Show steps
Show steps
Show steps
- Identify key terms and concepts from the course materials.
- Write concise definitions for each term.
- Organize the terms alphabetically or by category.
Engage in discussions with peers
Show steps
Exchanging ideas and perspectives with fellow learners can enhance your understanding and retention of the course material.
Show steps
Show steps
Show steps
- Join online forums or discussion groups related to the course topic.
- Participate in discussions by asking questions, sharing insights, and responding to others.
- Organize or participate in virtual study sessions with classmates.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve practice problems on RNA degradation prediction
Show steps
Reinforce your understanding of the course concepts by practicing your skills in predicting RNA degradation rates using real-world datasets.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find online platforms or textbooks that provide practice problems on RNA degradation prediction.
- Attempt to solve the practice problems using the techniques learned in the course.
- Check your solutions against provided answer keys or consult with experts for feedback.
- Identify areas where you need additional practice and focus on improving your skills in those areas.
Train the Bidirectional Gated Recurrent Unit Neural Network model
Show steps
Training the model will provide hands-on experience in using a neural network to predict RNA degradation rates.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Load the training data
- Build the neural network model
- Train the model
- Evaluate the model on the test set
Practice using machine learning libraries
Show steps
Hands-on practice with machine learning libraries will strengthen your ability to implement the models discussed in the course.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Choose a machine learning library (e.g., scikit-learn, TensorFlow, Keras).
- Work through tutorials and examples provided by the library documentation.
- Solve coding challenges and practice problems.
- Build small machine learning projects using the library.
Create a presentation on the project
Show steps
Creating a presentation will help you synthesize and communicate your understanding of the project.
Show steps
Show steps
Show steps
- Gather your materials
- Organize your presentation
- Create your slides
- Practice your presentation
Explore advanced concepts in machine learning
Show steps
Delving into advanced machine learning topics will enhance your understanding of the neural network models used in mRNA vaccine degradation prediction.
Browse courses on
Advanced Machine Learning
Show steps
Show steps
Show steps
- Select a machine learning platform (e.g., Coursera, edX).
- Enroll in courses on topics such as neural networks, deep learning, and natural language processing.
- Follow video tutorials and complete hands-on exercises.
- Participate in online discussions and forums.
Create a presentation on the applications of mRNA degradation prediction
Show steps
Expand your understanding by exploring the practical applications of mRNA degradation prediction and how it can be used to solve real-world problems in healthcare and biotechnology.
Browse courses on
Biotechnology
Show steps
Show steps
Show steps
- Research the applications of mRNA degradation prediction in various fields.
- Identify a specific application that you find particularly interesting.
- Create a presentation that outlines the problem, the solution, and the potential benefits of using mRNA degradation prediction in that context.
Participate in machine learning competitions
Show steps
Participating in competitions will challenge you to apply your skills, enhance your problem-solving abilities, and network with other machine learning enthusiasts.
Show steps
Show steps
Show steps
- Identify relevant machine learning competitions (e.g., Kaggle, DrivenData).
- Form a team or participate individually.
- Develop and submit machine learning models to solve the competition tasks.
- Analyze results and learn from feedback.
Develop a prototype tool for predicting mRNA degradation rates
Show steps
Apply your knowledge by building a prototype tool that can be used to predict mRNA degradation rates for a given RNA sequence. You will gain hands-on experience in implementing machine learning models and creating user-friendly interfaces.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Design the architecture of your tool, including the input and output formats.
- Implement a machine learning model for mRNA degradation prediction using a programming language of your choice.
- Create a user-friendly interface for your tool that allows users to input RNA sequences and receive degradation rate predictions.
- Test your tool using a variety of RNA sequences and evaluate its accuracy.
Develop a machine learning model for predicting mRNA vaccine degradation rates
Show steps
Creating your own machine learning model will provide a comprehensive understanding of the concepts covered in the course and allow you to apply your skills to a real-world problem.
Show steps
Show steps
Show steps
- Gather and prepare data related to mRNA vaccine degradation rates.
- Choose and implement a suitable machine learning algorithm.
- Train and evaluate the model using cross-validation.
- Optimize the model parameters for best performance.
- Deploy the model and make predictions on new data.
Career center
Learners who complete COVID-19 mRNA Vaccine Degradation Prediction will develop knowledge and skills
that may be useful to these careers:
Research Scientist
Research Scientist
Research Scientists explore problems and theories in science and engineering using scientific methods. They analyze data, develop hypotheses, and conduct experiments to test their hypotheses. As mRNA vaccines are used more widely, the work done in this course will be integral to ensuring that these vaccines are safe and effective. By understanding how mRNA vaccines degrade, scientists can develop strategies to improve their stability and effectiveness.
Medical Scientist
Medical Scientist
Medical Scientists are responsible for conducting research in the field of medicine. They may work in a variety of settings, such as hospitals, universities, or research institutions. The skills you will learn in this course will be essential for a Medical Scientist working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop new and improved vaccines.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to data in the biological sciences. They design studies, collect and analyze data, and interpret results. The skills you will learn in this course will be essential for a Biostatistician working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop statistical models to predict their stability and effectiveness.
Computational Biologist
Computational Biologist
Computational Biologists use computational tools to analyze biological data. They develop algorithms and software to identify patterns and relationships in data. The skills you will learn in this course will be essential for a Computational Biologist working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop computational models to predict their stability and effectiveness.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems in populations. They design and conduct studies to identify risk factors and develop strategies to prevent and control diseases. The skills you will learn in this course will be essential for an Epidemiologist working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop strategies to improve their stability and effectiveness.
Science Writer
Science Writer
Science Writers communicate complex scientific information to a general audience. They write articles, books, and other materials that explain scientific concepts and discoveries. The skills you will learn in this course will be essential for a Science Writer working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to write clear and concise articles about this important topic.
Laboratory Technician
Laboratory Technician
Laboratory Technicians conduct experiments and tests in a laboratory setting. They may work in a variety of fields, such as biology, chemistry, or physics. The skills you will learn in this course will be essential for a Laboratory Technician working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to conduct experiments to test their stability and effectiveness.
Pharmacist
Pharmacist
Pharmacists dispense medications and provide advice on their use. They also work with patients to manage their medications and ensure they are taking them correctly. The skills you will learn in this course will be essential for a Pharmacist working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to provide patients with accurate information about these vaccines.
Clinical Research Coordinator
Clinical Research Coordinator
Clinical Research Coordinators manage the day-to-day operations of clinical trials. They work with patients, doctors, and other members of the research team to ensure that the trial is conducted according to protocol. The skills you will learn in this course may be useful for a Clinical Research Coordinator working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to manage the trial in a way that ensures the safety and effectiveness of the vaccine.
Policy Analyst
Policy Analyst
Policy Analysts research and analyze public policy issues. They develop recommendations for policies that address social and economic problems. The skills you will learn in this course may be useful for a Policy Analyst working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop policies that ensure the safe and effective use of these vaccines.
Teacher
Teacher
Teachers plan and deliver lessons to students in a classroom setting. They may teach a variety of subjects, such as math, science, or history. The skills you will learn in this course may be useful for a Teacher working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to teach your students about this important topic.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators plan, organize, and manage healthcare systems and organizations. They work to improve the quality and efficiency of healthcare services. The skills you will learn in this course may be useful for a Healthcare Administrator working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop policies and procedures that ensure the safe and effective use of these vaccines.
Research Associate
Research Associate
Research Associates conduct research under the supervision of a senior researcher. They may work in a variety of fields, such as biology, chemistry, or physics. The skills you will learn in this course will be essential for a Research Associate working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to conduct research to test their stability and effectiveness.
Science Communicator
Science Communicator
Science Communicators bridge the gap between scientists and the general public. They develop and deliver materials that explain scientific concepts and discoveries in a clear and engaging way. The skills you will learn in this course may be useful for a Science Communicator working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop materials that explain this complex topic to the general public.
Public Health Educator
Public Health Educator
Public Health Educators develop and deliver educational programs that promote health and prevent disease. They work in a variety of settings, such as schools, community centers, and hospitals. The skills you will learn in this course may be useful for a Public Health Educator working with mRNA vaccines. You will gain a deep understanding of how mRNA vaccines degrade, which will allow you to develop educational materials that explain this complex topic to the general public.
For more career information including salaries, visit:
OpenCourser.com/course/2p7ss9/covid
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
COVID-19 mRNA Vaccine Degradation Prediction.
Provides a historical and scientific overview of the RNA world, from its origins to its role in modern biology. It is an essential read for anyone interested in understanding the fundamental principles of RNA.
Provides a concise and accessible introduction to the structure, function, and applications of RNA. It is an excellent starting point for anyone who wants to learn more about this essential molecule.
This classic textbook provides a comprehensive overview of molecular biology, including chapters on RNA structure and function. It is an invaluable resource for students and researchers alike.
Save
This textbook provides a comprehensive overview of biochemistry, including chapters on RNA structure and function. It is an excellent resource for students and researchers who want to learn more about the molecular basis of life.
This textbook provides a concise and accessible overview of human biology, including chapters on RNA structure and function. It is an excellent resource for students who want to learn more about the human body.
This textbook provides a comprehensive overview of genetic analysis, including chapters on RNA structure and function. It is an excellent resource for students who want to learn more about the principles of genetics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2p7ss9/covid
Share
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Mohammed Murtuza Qureshi
Language
English
Good to know
Teaches how to build and train complex neural networks, which is a core skill for data scientists
Explores how to predict mRNA degradation rates through deep learning, which is a highly relevant healthcare application
Involves using BiRNNs, a powerful neural network architecture specifically designed for modeling sequences
Instructor Mohammed Murtuza Qureshi is a recognized expert in machine learning and deep learning
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