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Using Shiny to Plot Differential Gene Expression

In this project-based course, you will create a Shiny app to plot gene expression data (Real-Time PCR) from a published manuscript. You will build the Shiny app from scratch and handle every component of Shiny. The project covers data processing and collecting feedback from the user to build and finetune the output.

In this course, we will be concerned with the optimal use of inputs and outputs. Instead of building a lot of inputs and outputs, we will use a limited number of components and recycle some even seven times for different purposes.

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What's inside

Syllabus

Using Shiny to Plot Differential Gene Expression

Welcome to Using Shiny to Plot Differential Gene Expression Project! You’re joining thousands of learners currently enrolled in the Rhyme guided project program. I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover during the project, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. By the end of this project, you will create a Shiny app to plot gene expression data (Real-Time PCR) from a published manuscript. You will build the Shiny app from scratch, along the way together we will handle every component of Shiny. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started and I hope you enjoy the course!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for those with experience in manipulating gene expression data using real-time PCR

Designed for beginners who want to build a Shiny app from scratch

Helpful for learners interested in data processing and user feedback

Teaches essential components of Shiny for handling inputs and outputs

Applicable to industry practices

Taught by an expert in the field

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Reviews summary

Useful shiny app creation tutorial

According learners, this well received course provides a valuable tutorial on creating Shiny apps in RStudio. While some students found the speaker's accent difficult to follow, many praised the engaging lessons. The course consists of well-structured materials and helpful resources.

Informative materials

"Great project!."

"I have learnt a lot from this."

"The informations are quite effective and interesting"

Instructor's accent hard to follow

"speaker's strong accent made following him a little tricky for 100% of the videos."

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 Using Shiny to Plot Differential Gene Expression with these activities:

Compile a List of Useful Shiny Resources

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Increase your knowledge of Shiny resources by compiling a comprehensive list of useful articles, tutorials, and tools

Browse courses on Resources

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Search for and gather relevant Shiny resources
Organize and categorize the resources
Share the compilation with others

Review the Book 'Mastering Shiny'

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Gain a comprehensive understanding of Shiny app development by reviewing a seminal book on the subject

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Read the book thoroughly
Take notes on key concepts and techniques
Apply what you learn to your own Shiny apps

Follow Shiny Tutorials

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Develop proficiency in using Shiny by following guided tutorials

Browse courses on Data Visualization

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Find relevant Shiny tutorials
Follow the tutorials step-by-step
Replicate the examples in your own apps

Four other activities

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Show all seven activities

Build the Shiny App from Scratch

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Increase understanding of Shiny and programming concepts by creating a Shiny app from scratch

Browse courses on Programming

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Set up your development environment
Create a new Shiny app project
Add the necessary packages
Write the R code for the app
Test and debug the app

Join a Shiny App Development Study Group

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Improve your problem-solving abilities and gain new perspectives by collaborating with peers

Browse courses on Collaboration

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Find a study group or create your own
Meet regularly to discuss Shiny app development topics
Work on projects together

Create a Video Tutorial on Shiny App Development

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Enhance your understanding of Shiny app development by creating a video tutorial that explains the process

Browse courses on Data Visualization

Show steps

Plan the content of your tutorial
Record the video
Edit and produce the video
Publish your video on a video-sharing platform

Participate in a Shiny App Development Competition

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Enhance your development skills and solve real-world problems by participating in a competition

Browse courses on Problem-Solving

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Find an appropriate competition
Develop a Shiny app that addresses the competition's challenge
Submit your app for consideration

Career center

Learners who complete Using Shiny to Plot Differential Gene Expression will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts sift through large datasets to find trends and insights. Using their expertise in statistics and programming, they can uncover hidden patterns and correlations. This course on Using Shiny to Plot Differential Gene Expression will provide Data Analysts with the skills needed to create interactive data visualizations that can help communicate complex findings to stakeholders. By learning how to build Shiny apps from scratch, Data Analysts can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Data Analyst

Biostatistician

Biostatisticians apply statistical methods to solve problems in the life sciences. They design and conduct studies, analyze data, and interpret results. This course on Using Shiny to Plot Differential Gene Expression will provide Biostatisticians with the skills needed to create interactive data visualizations that can help communicate complex findings to researchers and policymakers. By learning how to build Shiny apps from scratch, Biostatisticians can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Biostatistician

Research Scientist

Research Scientists conduct experiments and collect data to test hypotheses and develop new theories. They use their knowledge of scientific methods and statistical analysis to design and conduct studies, analyze data, and interpret results. This course on Using Shiny to Plot Differential Gene Expression will provide Research Scientists with the skills needed to create interactive data visualizations that can help communicate complex findings to colleagues and the public. By learning how to build Shiny apps from scratch, Research Scientists can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Research Scientist

Data Visualization Engineer

Data Visualization Engineers design and develop data visualizations that communicate complex information in a clear and concise way. They use their knowledge of data visualization principles and programming to create interactive dashboards and reports that allow users to explore data in a variety of ways. This course on Using Shiny to Plot Differential Gene Expression will provide Data Visualization Engineers with the skills needed to create interactive data visualizations of gene expression data. By learning how to build Shiny apps from scratch, Data Visualization Engineers can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Data Visualization Engineer

Web Developer

Web Developers design and develop websites and web applications. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. This course on Using Shiny to Plot Differential Gene Expression will provide Web Developers with the skills needed to create interactive data visualizations of gene expression data. By learning how to build Shiny apps from scratch, Web Developers can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development principles to create software that solves problems and meets the needs of users. This course on Using Shiny to Plot Differential Gene Expression will provide Software Engineers with the skills needed to create interactive data visualizations of gene expression data. By learning how to build Shiny apps from scratch, Software Engineers can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Software Engineer

Data Journalist

Data Journalists use data to tell stories and inform the public. They use their knowledge of data analysis and visualization to create articles, infographics, and other data-driven content. This course on Using Shiny to Plot Differential Gene Expression will provide Data Journalists with the skills needed to create interactive data visualizations of gene expression data. By learning how to build Shiny apps from scratch, Data Journalists can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Data Journalist

Bioinformatician

Bioinformaticians use computational tools to analyze biological data. They use their knowledge of biology, computer science, and statistics to develop new methods for analyzing and interpreting data. This course on Using Shiny to Plot Differential Gene Expression will provide Bioinformaticians with the skills needed to create interactive data visualizations of gene expression data. By learning how to build Shiny apps from scratch, Bioinformaticians can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Bioinformatician

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They use their knowledge of finance and mathematics to develop trading strategies and make investment decisions. This course on Using Shiny to Plot Differential Gene Expression may be useful for Quantitative Analysts who want to learn how to create interactive data visualizations of financial data. By learning how to build Shiny apps from scratch, Quantitative Analysts can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve problems in business and industry. They use their knowledge of optimization, simulation, and other techniques to improve efficiency and decision-making. This course on Using Shiny to Plot Differential Gene Expression may be useful for Operations Research Analysts who want to learn how to create interactive data visualizations of operations data. By learning how to build Shiny apps from scratch, Operations Research Analysts can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts collect and analyze data about markets and consumers. They use their knowledge of research methods and statistics to identify trends and develop marketing strategies. This course on Using Shiny to Plot Differential Gene Expression may be useful for Market Research Analysts who want to learn how to create interactive data visualizations of market data. By learning how to build Shiny apps from scratch, Market Research Analysts can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Market Research Analyst

Business Analyst

Business Analysts use data and analysis to solve business problems and improve decision-making. They use their knowledge of business processes, data analysis, and technology to develop solutions that meet the needs of stakeholders. This course on Using Shiny to Plot Differential Gene Expression may be useful for Business Analysts who want to learn how to create interactive data visualizations of business data. By learning how to build Shiny apps from scratch, Business Analysts can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use data and analysis to solve problems in a variety of fields, including business, healthcare, and science. They use their knowledge of statistics, probability, and programming to develop solutions that meet the needs of stakeholders. This course on Using Shiny to Plot Differential Gene Expression may be useful for Statisticians who want to learn how to create interactive data visualizations of data. By learning how to build Shiny apps from scratch, Statisticians can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Statistician

Machine Learning Engineer

Machine Learning Engineers use machine learning algorithms to solve problems in a variety of fields, including business, healthcare, and science. They use their knowledge of machine learning, programming, and statistics to develop solutions that meet the needs of stakeholders. This course on Using Shiny to Plot Differential Gene Expression may be useful for Machine Learning Engineers who want to learn how to create interactive data visualizations of data. By learning how to build Shiny apps from scratch, Machine Learning Engineers can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data and analysis to solve problems in a variety of fields, including business, healthcare, and science. They use their knowledge of statistics, machine learning, and programming to develop solutions that meet the needs of stakeholders. This course on Using Shiny to Plot Differential Gene Expression may be useful for Data Scientists who want to learn how to create interactive data visualizations of data. By learning how to build Shiny apps from scratch, Data Scientists can create custom dashboards and reports that allow users to explore data in a variety of ways.

See salaries and explore the career path for Data Scientist

Reading list

We've selected 12 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 Using Shiny to Plot Differential Gene Expression.

R for Data Science

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Provides a comprehensive introduction to the R programming language, with a focus on data science applications. It covers a wide range of topics, from data manipulation and visualization to statistical modeling and machine learning.

Using Shiny to Plot Differential Gene Expression

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Useful shiny app creation tutorial

Activities

Career center

Reading list

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