From listmaster animalgenome.org Mon Apr 28 08:51:47 2025
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From: "Carlo Pecoraro" <infophysalia-courses.org>
Postmaster: submission approved by list moderator
To: Members of AnGenMap <angenmapanimalgenome.org>
Subject: Online course: Machine Learning Methods for Longitudinal Data.
Date: Mon, 28 Apr 2025 08:51:47 -0500
Dear all,
there are only 2 seats left for the Physalia online course: Machine Learning
Methods for Longitudinal Data.
Dates: 6th-9th May
Course website:
https://www.physalia-courses.org/...inal-data/
This course will introduce machine learning methods for analyzing
longitudinal (sequence) data, where time and cause-effect relationships
are important. You will learn how to handle the specific challenges of
working with this type of data, from visualization and modeling to
interpretation.
Course Highlights:
- Understand how time and causation affect data analysis
- Learn to identify and address biases such as confounding and mediator
effects
- Apply machine learning methods to sequence data
- Use graph models, Bayesian networks, and time-series forecasting
- Work with real-world biological datasets, including epidemiology and
gene expression
Who Should Attend?
This course is designed for advanced students, researchers, and
professionals working with biological data that changes over time. A
basic understanding of Python and Linux is helpful but not required.
Course Format:
The course is structured over four days and includes lectures, discussions,
and hands-on practical exercises using Python, Jupyter Notebooks, and the
Linux command line. Participants will work on exercises, interpret results,
and discuss their own research questions.
Schedule (Berlin time):
Day 1 (2-8 PM): Introduction to sequence data, statistical models, bias
handling
Day 2 (2-8 PM): Graph models, Bayesian networks, ML approaches for
time-series prediction
Day 3 (2-8 PM): Longitudinal data in epidemiology, deep learning,
Transformer models
Day 4 (2-8 PM): Model diagnostics, multi-omics case study, final discussion
For the full list of our courses and workshops, please visit:
https://www.physalia-courses.org/courses-workshops/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
infophysalia-courses.org
mobile: +49 17645230846
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