Applied Machine Learning for Biological Data Hands-on sessions

Prerequisites

• NumPy and Pandas fundamentals for handling biological datasets

Who is the hands-on sessions for?

About the hands-on sessions

Overall schedule

• PCA and clustering in cancer genomics

• Logistic regression in cancer genomics

• ML workflow with biological data

• Deep-learning-based variant calling via DeepVariant

• Accelerated Genomics workflows with Parabricks

Sessions descriptions

• Unsupervised Learning
• Classification
• Complete Machine Learning Workflow
• DeepVariant: Deep-learning tool

Jupyter Notebooks

• Unsupervised Learning
• Classification
• Complete ML workflow

Python dependencies

• Download requirements file requirements.txt