Connexions

Sections
You are here: Home » Content » Statistical machine learning for computational biology

About: Statistical machine learning for computational biology

Collection type: Course

Course by: Devika Subramanian. E-mail the author

View content

Metadata

Name: Statistical machine learning for computational biology
ID: col10455
Language: English (en)
Summary: 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.
Collection Subtype: Course
Subject: Mathematics and Statistics, Science and Technology
Keywords: bayesian networks, classification of microarray data, computational gene finding, Hidden Markov models, learning regulatory networks from microarray and proteomic data, stasistical machine learning, support vector machines
License: Creative Commons Attribution License CC-BY 2.0

Authors: Devika Subramanian (devika@rice.edu)
Copyright Holders: Devika Subramanian (devika@rice.edu)
Maintainers: Devika Subramanian (devika@rice.edu)

Latest version: 1.2 (history)
First publication date: Sep 5, 2007 11:11 am GMT-5
Last revision to collection: Oct 14, 2007 11:52 am GMT-5

Collection Structure XML: col10455_1.2_collection.xml
All collection files: col10455_1.2_complete.zip

Version History

Version: 1.2 Oct 14, 2007 11:52 am GMT-5 by Devika Subramanian
Changes:
added thanks to NSF

Version: 1.1 Sep 5, 2007 12:02 pm GMT-5 by Devika Subramanian
Changes:
Created Course

How to Reuse and Attribute This Content

If you derive a copy of this content using a Connexions account and publish your version, proper attribution of the original work will be automatically done for you.

If you reuse this work elsewhere, in order to comply with the attribution requirements of the license (CC-BY 2.0), you must include

  • the authors' names: Devika Subramanian
  • the title of the work: Statistical machine learning for computational biology
  • the Connexions URL where the work can be found: http://cnx.org/content/col10455/1.2/

See the citation section below for examples you can copy.

How to Cite and Attribute This Content

The following citation styles comply with the attribution requirements for the license (CC-BY 2.0) of this work:

American Chemical Society (ACS) Style Guide:

Subramanian, D. Statistical machine learning for computational biology, Connexions Web site. http://cnx.org/content/col10455/1.2/, Oct 14, 2007.

American Medical Assocation (AMA) Manual of Style:

Subramanian D. Statistical machine learning for computational biology [Connexions Web site]. October 14, 2007. Available at: http://cnx.org/content/col10455/1.2/.

American Psychological Assocation (APA) Publication Manual:

Subramanian, D. (2007, October 14). Statistical machine learning for computational biology. Retrieved from the Connexions Web site: http://cnx.org/content/col10455/1.2/

Chicago Manual of Style (Bibliography):

Subramanian, Devika. "Statistical machine learning for computational biology." Connexions. October 14, 2007. http://cnx.org/content/col10455/1.2/.

Chicago Manual of Style (Note):

Devika Subramanian, "Statistical machine learning for computational biology," Connexions, October 14, 2007, http://cnx.org/content/col10455/1.2/.

Chicago Manual of Style (Reference, in Author-Date style):

Subramanian, D. 2007. Statistical machine learning for computational biology. Connexions, October 14, 2007. http://cnx.org/content/col10455/1.2/.

Modern Languages Association (MLA) Style Manual:

Subramanian, Devika. Statistical machine learning for computational biology. Connexions. 14 Oct. 2007 <http://cnx.org/content/col10455/1.2/>.