ISMB 2024 Virtual Tutorial - BioViz: Interactive data visualisation and ML for omics data

[Ragothaman Yennamalli]

Hi Everyone,

Along with Dr. Farzana Rahman, we are pleased to announce the upcoming VIRTUAL tutorial as part of ISMB2024, titled "BioViz: Interactive data visualisation and ML for omics data".

Details: https://www.iscb.org/ismb2024/programme-schedule/tutorials#vt2

What to Expect:

• Part 1: Dive into the art of Data Visualisation. Learn to use Python's powerful libraries like Matplotlib, Seaborn, and Plotly. We'll cover everything from basic principles to designing accessible and inclusive visualisations, concluding with a hands-on session using real-world datasets.

• Part 2: Explore the essentials of Machine Learning. Get hands-on experience with Python tools like Scikit-learn, Pandas, and TensorFlow/Keras. Learn to preprocess data, select features, build, and evaluate models. We'll integrate data visualisation with ML results for impactful analysis.

Key Takeaways:

• Master the art of conveying complex data simply and effectively.
  
• Build and interpret machine learning models in the context of biological data.
  
• Gain practical, real-world skills that bridge biology with data science.

Whether you're a seasoned researcher or new to computational biology, this tutorial is the perfect opportunity to enhance your skill set in data visualisation and machine learning.

Kindly circulate this among your peers and students. Much appreciated!

Thanks and Regards,

Ragothaman Yennamalli, Jean-Christophe Nebel, Farzana Rahman, Megha Hegde, and Shashank Ravichandran