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Bioinformatics and Proteomics, January (IAP) 2005

(Complete Item Description)

Abstract:: This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Actual Implementations Bayesian Methods Bioinformatics Biotechnology Applications Computer Sciences Control Theory Electrical Engineering Engineering Design Issues Machine Learning Microarray Expression Analysis Network Theory Proteomics Real-World Examples Robotics Scale-Free Networks Sequence Analysis Signal Processing

Conditions of Use

No Strings Attached
Remix and Share
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Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some 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.

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