Probabilistic Modeling and Machine Learning in Structural and Systems Biology
2007
Probabilistic Modeling and Machine Learning in Structural and Systems Biology
publication
Author Information
Author(s): Samuel Kaski, Juho Rousu, Esko Ukkonen
Primary Institution: Helsinki University of Technology
Conclusion
The supplement contains a selection of eleven full papers that explore various aspects of probabilistic modeling and machine learning in biological research.
Supporting Evidence
- The workshop aimed to integrate machine learning with biological research problems.
- The supplement includes eleven reviewed papers selected from a workshop on probabilistic modeling.
- The research covers topics like gene regulation, protein interaction networks, and high-throughput data analysis.
Takeaway
This study is about using smart computer methods to help understand biology better, especially how cells work and communicate.
Digital Object Identifier (DOI)
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