Introduction to Machine Learning for Genomics (BIO610)
2025_HS_BIO610 | |
25.11.2025 - 26.11.2025 | |
2 days | |
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Start registration period: 05.08.2025 End of registration period: 27.10.2025 |
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External | |
5 | |
10 | |
Students enrolled in PSC PhD Programs have priority. Free of charge to Ph.D. students and master students | |
This course is a hands-on introduction to machine learning with Python for biologists with focus on genomics and evolution. It focuses on analyzing gene expression and experimental data. You will start with the basics, like preparing data and making graphs, then move on to practical tasks. Workflow of the Functional Genomics Center Zurich is used for the hands-on of next-generation sequencing data. We will also use Large Language Models (LLMs) as a powerful helper to make programming and data analysis easier. By the end of the module the students should be able to: -Understand concepts of NGS technologies -Understand fundamentals of data analysis -Design a research experiment and the data analysis involving biologically relevant issues affecting populations of plants or animals -Run machine learning analysis process -Understand basic bioinformatics of large datasets for practical use in genetic analyses | |
Prof. Dr. Kentaro Shimizu Prof. Dr. Jun Sese Dr. Masaomi Hatakeyama Dr. Rie Shimizu-Inatsugi Dr. Narjes Yousefi Dr. Claudio Quilodran Venegas | |
1 | |
PhD Students will have priority. Master students and Postdocs if places available | |
Basic Studies Completed | |
English | |
Attendance at lectures and active participation in the hands-on exercises are required. | |
By registering you agree to the PSC course terms and conditions AGBs | |
Cancellation of a course registration should be arranged with the course coordination office psc_phdprogram@ethz.ch and is possible free of charge up to 2 weeks before the course starts. Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF. | |
None | |
Dr.Bojan Gujas (psc_phdprogram@ethz.ch) | |
HS25_BIO610_1.pdfvertical_align_bottom |