Gene expression prediction ML models and their evaluation
DozentIn(en)/Lecturer: Masek, Baum
Maximum number of participants: 6
Projektvorstellung und Klären von Fragen: 15.01.2026 um 15:30 Uhr, remote unter diesem Webex-Link:
https://fu-berlin.webex.com/meet/pras2wlw379s99
Location: tba
Short description of content:
(will be held in english)
In this project, students will reimplement published deep learning models for predicting gene expression responses to perturbation. They will then assess these models using a variety of metrics and critically evalute the results in terms of biological relevance, addressing an ongoing debate in the field regarding evaluation standards.
Quantitative allocation (in %):
Practical programming work: 50%
Soft Skills: 25%
Literature research: 25%
Programming language(s) used: Python
Difficulty level (Eight stars distributed over three areas):
A Programming ***
B Biology/Chemistry ***
C Project management **
Required previous knowledge Python, machine learning
Contact address:
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