CSCE 970 lecture slides
-
Lectures 0 and 1: Administrivia and Introduction, Jan 12.
(1up,
6up)
- Lecture 2: Hidden Markov Models. Durbin Chapter 3.
(1up,
6up)
Also see:
- R. Durbin, S. Eddy, A. Krogh, and G. Mitchison. Biological Sequence
Analysis. Cambridge University Press, 1998. [see ch. 3]
- HMM Tutorial (including example runs of algorithms)
- ISMB99 Tutorial on HMMs
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K. Sjölander,
K. Karplus,
M. Brown,
R. Hughey,
A. Krogh,
I. S. Mian, and
D. Haussler.
Dirichlet mixtures: A method for improving detection of weak
but significant protein sequence homology. Computer Applications
in the Biosciences (CABIOS), Vol. 12, No. 4, Pages 327-345, 1996.
[compressed postscript]
- HMM Tutorial
- L. R. Rabiner. A tutorial on hidden Markov models and selected
applications in speech recognition. Proceedings of the IEEE, Vol 2,
pages 257–286, 1989. [pdf]
- Lecture 3: Applications of Hidden Markov Models to Sequence Analysis. Durbin Chapter 5.
(1up,
6up)
Also see:
- R. Durbin, S. Eddy, A. Krogh, and G. Mitchison. Biological Sequence
Analysis. Cambridge University Press, 1998. [see ch. 5]
-
K. Sjölander,
K. Karplus,
M. Brown,
R. Hughey,
A. Krogh,
I. S. Mian, and
D. Haussler.
Dirichlet mixtures: A method for improving detection of weak
but significant protein sequence homology. Computer Applications
in the Biosciences (CABIOS), Vol. 12, No. 4, Pages 327-345, 1996.
[compressed postscript]
- Lecture 4: Introduction to Bayesian Networks. Neapolitan Chapter 1.
(1up,
6up)
Also see:
- Lecture 5: More Properties of Bayesian Networks. Neapolitan Chapter 2.
(1up,
6up)
Also see:
- Lecture 6: Inference in Bayesian Networks. Neapolitan Chapter 3.
(1up,
6up)
Also see:
- Lecture 7: Parameter Learning. Neapolitan Chapter 6.
(1up,
6up)
-
Lecture 7.5: How to Give a Good Research Talk.
(1up,
6up)
Also see:
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