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- Author:
-
Devika Subramanian
- Subject:
- Mathematics and Statistics, Science and Technology
- Institution Name:
- Connexions
- Collection:
-
Connexions
- Grade Level:
- Post-secondary
- Abstract:
The course is the second module of a three module course entitled "Bioinformatics: from sequence to structure". This course focuses on learning statistical models from biological data. Three problems are covered: gene finding, classification of gene expression data, and inferring regulatory networks from mRNA and proteomic data. The computational techniques covered include: HMMs, support vector machines, and structure learning with Bayesian networks. This course is made possible by a curriculum development grant from the NSF.
- Languages:
- English
- Material Type:
- Full Course, Readings
- Media Format:
- Text/HTML, Downloadable docs
- Conditions of Use:
-
Creative Commons Attribution 2.0
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
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restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
Statistical machine learning for computational biology
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