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Items: 1 to 20 of 130

1.

HMMCONVERTER 1.0: a toolbox for hidden Markov models.

Lam TY, Meyer IM.

Nucleic Acids Res. 2009 Nov;37(21):e139. doi: 10.1093/nar/gkp662.

2.

A linear memory algorithm for Baum-Welch training.

Miklós I, Meyer IM.

BMC Bioinformatics. 2005 Sep 19;6:231.

3.

MAMOT: hidden Markov modeling tool.

Schütz F, Delorenzi M.

Bioinformatics. 2008 Jun 1;24(11):1399-400. doi: 10.1093/bioinformatics/btn201. Epub 2008 Apr 25.

PMID:
18440999
4.

Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory.

Churbanov A, Winters-Hilt S.

BMC Bioinformatics. 2008 Apr 30;9:224. doi: 10.1186/1471-2105-9-224.

5.

Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins.

Bagos PG, Liakopoulos TD, Hamodrakas SJ.

BMC Bioinformatics. 2006 Apr 5;7:189.

6.

StochHMM: a flexible hidden Markov model tool and C++ library.

Lott PC, Korf I.

Bioinformatics. 2014 Jun 1;30(11):1625-6. doi: 10.1093/bioinformatics/btu057. Epub 2014 Jan 30.

7.

HMMoC--a compiler for hidden Markov models.

Lunter G.

Bioinformatics. 2007 Sep 15;23(18):2485-7. Epub 2007 Jul 10.

PMID:
17623703
8.

MRHMMs: multivariate regression hidden Markov models and the variantS.

Lee Y, Ghosh D, Hardison RC, Zhang Y.

Bioinformatics. 2014 Jun 15;30(12):1755-6. doi: 10.1093/bioinformatics/btu070. Epub 2014 Feb 19.

9.

Meta-MEME: motif-based hidden Markov models of protein families.

Grundy WN, Bailey TL, Elkan CP, Baker ME.

Comput Appl Biosci. 1997 Aug;13(4):397-406.

PMID:
9283754
10.

A normalized statistical metric space for hidden Markov models.

Lu C, Schwier JM, Craven RM, Yu L, Brooks RR, Griffin C.

IEEE Trans Cybern. 2013 Jun;43(3):806-19. doi: 10.1109/TSMCB.2012.2216872. Epub 2012 Oct 3.

PMID:
23047878
11.

Predicting the phosphorylation sites using hidden Markov models and machine learning methods.

Senawongse P, Dalby AR, Yang ZR.

J Chem Inf Model. 2005 Jul-Aug;45(4):1147-52.

PMID:
16045309
12.

The Treeterbi and Parallel Treeterbi algorithms: efficient, optimal decoding for ordinary, generalized and pair HMMs.

Keibler E, Arumugam M, Brent MR.

Bioinformatics. 2007 Mar 1;23(5):545-54. Epub 2007 Jan 18.

PMID:
17237054
13.
14.

Substitution matrices and hidden Markov models.

Baldi P.

J Comput Biol. 1995 Fall;2(3):487-91.

PMID:
8521277
15.

Applications of generalized pair hidden Markov models to alignment and gene finding problems.

Pachter L, Alexandersson M, Cawley S.

J Comput Biol. 2002;9(2):389-99.

PMID:
12015888
16.

Fuzzy Hidden Markov Models: a new approach in multiple sequence alignment.

Collyda C, Diplaris S, Mitkas PA, Maglaveras N, Pappas C.

Stud Health Technol Inform. 2006;124:99-104.

PMID:
17108510
17.

Prediction of protein secondary structure by the hidden Markov model.

Asai K, Hayamizu S, Handa K.

Comput Appl Biosci. 1993 Apr;9(2):141-6.

PMID:
8481815
18.

Comparative ab initio prediction of gene structures using pair HMMs.

Meyer IM, Durbin R.

Bioinformatics. 2002 Oct;18(10):1309-18.

PMID:
12376375
19.

A computationally efficient approach to the estimation of two- and three-dimensional hidden Markov models.

Joshi D, Li J, Wang JZ.

IEEE Trans Image Process. 2006 Jul;15(7):1871-86.

PMID:
16830909
20.

HMMEditor: a visual editing tool for profile hidden Markov model.

Dai J, Cheng J.

BMC Genomics. 2008;9 Suppl 1:S8. doi: 10.1186/1471-2164-9-S1-S8.

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