Algorithms for variable length Markov chain modeling

Bioinformatics

Volumn 20, Issue 5, 2004, Pages 788-789

  Bejerano, Gill ^a  

^a University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; COMPUTER MODEL; COMPUTER PREDICTION; COMPUTER PROGRAM; CORRELATION COEFFICIENT; GENE SEQUENCE; GENETIC ALGORITHM; PRIORITY JOURNAL; PROBABILITY; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; THEORETICAL STUDY;

EID: 1842455195     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg489     Document Type: Article

References (4)

1. Bejerano,G. (2003) Automata learning and stochastic modeling for biosequence analysis. Ph.D. thesis, Hebrew University.
2. Bejerano,G. and Yona,G. (2001) Variations on probabilistic suffix trees: Statistical modeling and prediction of protein families. Bioinformatics, 17, 23-43.
3. Durbin,R., Eddy,S.R., Krogh,A. and Mitchison,G. (1998) Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, Cambridge.
4. Ron,D., Singer,Y. and Tishby,N. (1996) The power of amnesia: learning probabilistic automata with variable memory length. Mach. Learn., 25, 117-149.