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","Order":2,"Rating":2,"SiteType":null},{"ID":"7db9e11e-15b8-4f3d-8a45-efd84583d5f7","URL":"http://books.google.com.sg/books?id=4j_GfM0tyPUC","Description":"Wing-Kin Sung, Algorithms in Bioinformatics: A Practical Introduction, CRC, 2010. 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Coupled with the advances in computing power, this flow of information should enable scientists to model and understand biological systems in novel ways. \n
\n\tThe goals of CS4220 (Knowledge Discovery Methods in Bioinformatics) are:
\n\n\tTo achieve these goals, we do a series of in-depth studies and hands-on projects on topics such as gene expression profile analysis, proteomic profile analysis, epistatic interaction detection, protein family recognition, etc.
\n\n\tAt the end of the course, students will be able to identify the relevant knowledge discovery techniques for different biological data to uncover new information, as well as be confident in formulating and validating hypothesis underlying observations from biological data.
\n\n\t
\n","Order":6},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"There will be 3-4 assignments, 1 project, and a final exam. The assignments and project will collectively contribute upto 60% of the course grade; the final exam will contribute upto 40% of the course grade.","Order":8},{"ID":"9bc06dfc-db69-4772-8112-3c57ec16c492","Title":"Workload","Description":"2-1-0-4-3