This course is part of the AI for Scientific Research Specialization

Rajvir Dua +1 more instructor

Offered By

AI for Scientific Research SpecializationLearnQuest

About this Course

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In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look for similarities. Then, we'll perform PCA to cut down our number of dimensions and identify the most common features. Next, we'll use K-means clustering in Python to find the optimal number of groups and trace the lineage of the virus. Finally, we'll predict similarity between the sequences and use this to pick a target subsequence. Throughout the course, each section will consist of a programming assignment coupled with a guide video and helpful hints. By the end, you'll be well on your way to discovering ways to combat disease with genome sequencing.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 4 in the

AI for Scientific Research Specialization

Intermediate Level

We recoomend that you take the other two courses in the specizliation (or are familiar with the content) before attempting this capstone project.

Approx. 12 hours to complete

English

What you will learn

Analyzing genome sequences to find similarities and identify target subsequences using predctive models.

Skills you will gain

Whole Genome Sequencing
Machine Learning
Drug Discovery
Dimensionality Reduction
K-Means Clustering

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 4 in the

AI for Scientific Research Specialization

Intermediate Level

We recoomend that you take the other two courses in the specizliation (or are familiar with the content) before attempting this capstone project.

Approx. 12 hours to complete

English

Instructors

Rajvir Dua

Head of Data Science, Machine Learning Solutions

7,932 Learners

8 Courses

Neelesh Tiruviluamala

Co-founder and CEO, Machine Learning Solutions

7,932 Learners

8 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Comparing Genome Sequences

3 hours to complete

4 videos (Total 7 min)

3 hours to complete

Principal Component Analysis on Genome Sequences

3 hours to complete

2 videos (Total 3 min), 1 reading, 1 quiz

Week2

Week 2

3 hours to complete

Feature Analysis using K-Means Clustering

3 hours to complete

2 videos (Total 2 min)

Week3

Week 3

3 hours to complete

Predicting Bit Score to Find Sequence Matches

3 hours to complete

2 videos (Total 3 min)

About the AI for Scientific Research Specialization

In the AI for Scientific Research specialization, we'll learn how to use AI in scientific situations to discover trends and patterns within datasets. Course 1 teaches a little bit about the Python language as it relates to data science. We'll share some existing libraries to help analyze your datasets. By the end of the course, you'll apply a classification model to predict the presence or absence of heart disease from a patient's health data. Course 2 covers the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms.In the final project, we'll apply our skills to compare different machine learning models in Python. In Course 3, we will build on our knowledge of basic models and explore more advanced AI techniques. We’ll describe the differences between the two techniques and explore how they differ. Then, we’ll complete a project predicting similarity between health patients using random forests. In Course 4, a capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. By the end, you'll be well on your way to discovering ways to combat disease with genome sequencing.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Capstone Project: Advanced AI for Drug Discovery

About this Course

What you will learn

Skills you will gain