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Lost in Translation -- Solving biological problems with machine learning

Lost in Translation -- Solving biological problems with machine learning

This video was recorded at Machine Learning Summer School (MLSS), Tübingen 2007. We demonstrate the application of machine learning methods to problems from biology, chemistry, and pharmacy, nameley the prediction of protein subcellular localization, prediction of chromatiographic separation of oligo nucleotides, and the prediction of percutaneous drug absorption. For these examples, we show how translating the primary data into problem-specific features is essential for solving classification and regression problems.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
September 18, 2024
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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