23, Python and Me: Using Machine Learning in Python to Analyze Consumer Genomics Data

Pubblicato il: 26 settembre 2024
sul canale di: PyOhio
201
6

Nathan Brouwer

https://www.pyohio.org/2024/program/t...

We are over 20 years into the genomics era, with new insights into human health and our recent evolutionary history emerging almost daily. Genomics may seem like the province of PhDs and R\&D departments, but anyone with basic Python skills can navigate a genomics data pipeline and explore human genetic diversity, including their own! In this presentation, I will introduce the fields of population and health genomics, and the types of domain\-specific data used for genomics study. I will then demonstrate how you can use Python to visualize and analyze public data sources like the 1000 Genomes Project using unsupervised machine learning methods, and how to investigate your own genomics data from sources like *23andMe*. Since many people are not comfortable giving for\-profit companies access to their genomic data, I'll also show how you can simulate realistic personal genomic data via a supervised ML model.

#PyOhio #Python

The 17th annual PyOhio held July 27-28 in Cleveland, OH.

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https://PyOhio.org

Founded in 2008, PyOhio is a free annual Python programming language community conference based in Ohio. Content ranges from beginner to advanced and is intended to be relevant to all types of Python users: students, software professionals, scientists, hobbyists, and anyone looking to learn more.

Sun Jul 28 14:45:00 2024 at Calypso

Produced by NDV:    / @nextdayvideo  


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