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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Bioinformatics and Proteomics
6.092

Bioinformatics and Proteomics

Prof. Gil Alterovitz, Prof. Manolis Kellis, Prof. Marco Ramoni | January IAP 2005
Data Science, Analytics & Computer Technology Computer Science Data Science Science & Math Biology Engineering Biological Engineering Computational Biology
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CC BY-NC-SA 4.0
課程簡介
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.
Course Information
SourceMIT 開放式課程
科系Electrical Engineering and Computer Science
LanguageEnglish
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