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Items: 1 to 20 of 136

1.
2.
3.

Duration learning for analysis of nanopore ionic current blockades.

Churbanov A, Baribault C, Winters-Hilt S.

BMC Bioinformatics. 2007 Nov 1;8 Suppl 7:S14.

4.

Preliminary nanopore cheminformatics analysis of aptamer-target binding strength.

Thomson K, Amin I, Morales E, Winters-Hilt S.

BMC Bioinformatics. 2007 Nov 1;8 Suppl 7:S11.

5.

Nanopore-based kinetics analysis of individual antibody-channel and antibody-antigen interactions.

Winters-Hilt S, Morales E, Amin I, Stoyanov A.

BMC Bioinformatics. 2007 Nov 1;8 Suppl 7:S20.

7.

Clustering ionic flow blockade toggles with a mixture of HMMs.

Churbanov A, Winters-Hilt S.

BMC Bioinformatics. 2008 Aug 12;9 Suppl 9:S13. doi: 10.1186/1471-2105-9-S9-S13.

8.

Pattern recognition-informed feedback for nanopore detector cheminformatics.

Eren AM, Amin I, Alba A, Morales E, Stoyanov A, Winters-Hilt S.

Adv Exp Med Biol. 2010;680:99-108. doi: 10.1007/978-1-4419-5913-3_12.

PMID:
20865491
9.

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.

10.

Maximum confidence hidden markov modeling for face recognition.

Chien JT, Liao CP.

IEEE Trans Pattern Anal Mach Intell. 2008 Apr;30(4):606-16. doi: 10.1109/TPAMI.2007.70715.

PMID:
18276967
11.

Training HMM structure with genetic algorithm for biological sequence analysis.

Won KJ, PrĂ¼gel-Bennett A, Krogh A.

Bioinformatics. 2004 Dec 12;20(18):3613-9. Epub 2004 Aug 5.

PMID:
15297297
13.

Highly accurate classification of Watson-Crick basepairs on termini of single DNA molecules.

Winters-Hilt S, Vercoutere W, DeGuzman VS, Deamer D, Akeson M, Haussler D.

Biophys J. 2003 Feb;84(2 Pt 1):967-76.

14.

Semisupervised learning of hidden Markov models via a homotopy method.

Ji S, Watson LT, Carin L.

IEEE Trans Pattern Anal Mach Intell. 2009 Feb;31(2):275-87. doi: 10.1109/TPAMI.2008.71.

PMID:
19110493
15.

HMM sampling and applications to gene finding and alternative splicing.

Cawley SL, Pachter L.

Bioinformatics. 2003 Oct;19 Suppl 2:ii36-41.

PMID:
14534169
16.

Nanopore sequencing: from imagination to reality.

Bayley H.

Clin Chem. 2015 Jan;61(1):25-31. doi: 10.1373/clinchem.2014.223016. Epub 2014 Dec 4. No abstract available.

17.

A probabilistic framework based on hidden markov model for fiducial identification in image-guided radiation treatments.

Mu Z, Fu D, Kuduvalli G.

IEEE Trans Med Imaging. 2008 Sep;27(9):1288-300. doi: 10.1109/TMI.2008.922693.

PMID:
18753044
18.

Longitudinal modeling of glaucoma progression using 2-dimensional continuous-time hidden Markov model.

Liu YY, Ishikawa H, Chen M, Wollstein G, Schumnan JS, Rehg JM.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):444-51.

PMID:
24579171
19.

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.

20.

Body sensor network based ECG segmentation and analysis.

Li H, Tan J.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5166-9.

PMID:
18003171

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