Training Guide Library

Training Guide Library

In a hurry and need quick instructions on the cancer data science lifecycle stages? Browse this list of guides and resources. 

Data Generation and Collection

Identify and gather the data you need to address a problem.

  • Beginner
  • Advanced
    • [Training Video Recording] WebMeV | Discover how to use this intuitive, web-based, bioinformatics analysis toolkit designed for non-bioinformaticians. This walkthrough includes steps on how to upload data files, run a single-cell analysis (using the tools available within the toolkit), and how to navigate/create public data sets available within MebMeV.  

Data Cleaning

Fix discrepancies and handle missing values in your data. 

  • Beginner
    • [Article] Cleaning Data: The Basics | Get the fundamentals on what it is, why it matters, and how you can do it effectively.

Data Exploration and Analysis

Study your data, then form a hypothesis. 

Predictive Modeling

Use computational tools like machine learning models to make predictions with your data.  

Data Visualization

Communicate your data findings using interactive images, plots, and charts. 

Data Sharing

Accelerate discovery by making your data available to others. 

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