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CBMF W4761 Computational Genomics. 3 points.
Lect: 3.
Prerequisites: Working knowledge of at least one programming language, and some background in probability and statistics.
Computational techniques for analyzing genomic data including DNA, RNA, protein and gene expression data. Basic concepts in molecular biology relevant to these analyses. Emphasis on techniques from artificial intelligence and machine learning. String-matching algorithms, dynamic programming, hidden Markov models, expectation-maximization, neural networks, clustering algorithms, support vector machines. Students with life sciences backgrounds who satisfy the prerequisites are encouraged to enroll.
Spring 2022: CBMF W4761
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Course Number | Section/Call Number | Times/Location | Instructor | Points | Enrollment |
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CBMF 4761 | 001/12444 | M W 5:40pm - 6:55pm 833 Seeley W. Mudd Building |
Itsik Pe'er | 3 | 40/100 |
CBMF 4761 | V01/18532 | |
Itsik Pe'er | 3 | 4/20 |