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There are 71267 results for: content related to: A probabilistic model for secondary structure prediction from protein chemical shifts

  1. Advances in Hidden Markov Models for Sequence Annotation

    Bioinformatics Algorithms: Techniques and Applications

    Broňa Brejová, Daniel G. Brown, Tomáš Vinař, Pages: 55–91, 2007

    Published Online : 9 AUG 2007, DOI: 10.1002/9780470253441.ch4

  2. Mathematical considerations and improvement on the fuzzy vector quantization-based hidden markov model

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

    Volume 78, Issue 11, November 1995, Pages: 9–22, Eiichi Tsuboka and Jun'Ichi Nakahashi

    Version of Record online : 26 FEB 2007, DOI: 10.1002/ecjc.4430781102

  3. Predicting peptides that bind to MHC molecules using supervised learning of hidden markov models

    Proteins: Structure, Function, and Bioinformatics

    Volume 33, Issue 4, 1 December 1998, Pages: 460–474, Hiroshi Mamitsuka

    Version of Record online : 9 MAR 1999, DOI: 10.1002/(SICI)1097-0134(19981201)33:4<460::AID-PROT2>3.0.CO;2-M

  4. Hidden Markov Models

    Advanced Digital Signal Processing and Noise Reduction, Fourth Edition

    Saeed V. Vaseghi, Pages: 147–172, 2009

    Published Online : 18 MAR 2009, DOI: 10.1002/9780470740156.ch5

  5. You have free access to this content
    Assessing strategies for improved superfamily recognition

    Protein Science

    Volume 14, Issue 7, July 2005, Pages: 1800–1810, Ian Sillitoe, Mark Dibley, James Bray, Sarah Addou and Christine Orengo

    Version of Record online : 1 JAN 2009, DOI: 10.1110/ps.041056105

  6. Hidden Markov Models

    Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications

    Saeed V. Vaseghi, Pages: 353–379, 2007

    Published Online : 1 OCT 2007, DOI: 10.1002/9780470066508.ch11

  7. Speech recognition using phoneme HMM constrained by frame correlation

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

    Volume 77, Issue 6, 1994, Pages: 58–69, Satoshi Takahashi, Tatsuo Matsuoka, Yasuhiro Minami and Kiyohiro Shikano

    Version of Record online : 23 FEB 2007, DOI: 10.1002/ecjc.4430770606

  8. Hidden Markov Models

    Advanced Digital Signal Processing and Noise Reduction, Second Edition

    Saeed V. Vaseghi, Pages: 143–177, 2001

    Published Online : 27 SEP 2001, DOI: 10.1002/0470841621.ch5

  9. Constructing a Hidden Markov Model based earthquake detector: application to induced seismicity

    Geophysical Journal International

    Volume 189, Issue 1, April 2012, Pages: 602–610, Moritz Beyreuther, Conny Hammer, Joachim Wassermann, Matthias Ohrnberger and Tobias Megies

    Version of Record online : 15 FEB 2012, DOI: 10.1111/j.1365-246X.2012.05361.x

  10. Hidden Markov Models

    Advanced Digital Signal Processing and Noise Reduction, Third Edition

    Saeed V. Vaseghi, Pages: 137–164, 2006

    Published Online : 4 MAY 2006, DOI: 10.1002/0470094966.ch5

  11. Discriminative learning for protein conformation sampling

    Proteins: Structure, Function, and Bioinformatics

    Volume 73, Issue 1, October 2008, Pages: 228–240, Feng Zhao, Shuaicheng Li, Beckett W. Sterner and Jinbo Xu

    Version of Record online : 15 APR 2008, DOI: 10.1002/prot.22057

  12. Prediction of protein structure classes and secondary structures by means of hidden Markov models

    Systems and Computers in Japan

    Volume 30, Issue 13, 30 November 1999, Pages: 13–22, Hiroshi Yoshikawa, Mitsunori Ikeguchi, Shugo Nakamura, Kentaro Shimizu and Junta Doi

    Version of Record online : 4 NOV 1999, DOI: 10.1002/(SICI)1520-684X(19991130)30:13<13::AID-SCJ2>3.0.CO;2-7

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    Hidden Markov models that use predicted secondary structures for fold recognition

    Proteins: Structure, Function, and Bioinformatics

    Volume 36, Issue 1, 1 July 1999, Pages: 68–76, Jeanette Hargbo and Arne Elofsson

    Version of Record online : 1 OCT 1999, DOI: 10.1002/(SICI)1097-0134(19990701)36:1<68::AID-PROT6>3.0.CO;2-1

  14. You have free access to this content
    Calcium regulation of the ATPase activity of Physarum and scallop myosins using hybrid smooth muscle myosin: The role of the essential light chain

    FEBS Letters

    Volume 584, Issue 15, August 04, 2010, Pages: 3486–3491, Ying Zhang, Akio Nakamura, Hozumi Kawamichi, Shinji Yoshiyama, Takeshi Katayama and Kazuhiro Kohama

    Version of Record online : 13 JUL 2010, DOI: 10.1016/j.febslet.2010.07.011

  15. Bayesian non-parametric hidden Markov models with applications in genomics

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 73, Issue 1, January 2011, Pages: 37–57, C. Yau, O. Papaspiliopoulos, G. O. Roberts and C. Holmes

    Version of Record online : 12 OCT 2010, DOI: 10.1111/j.1467-9868.2010.00756.x

  16. A Unified Method for Dynamic and Cross-Sectional Heterogeneity: Introducing Hidden Markov Panel Models

    American Journal of Political Science

    Volume 56, Issue 4, October 2012, Pages: 1040–1054, Jong Hee Park

    Version of Record online : 22 JUN 2012, DOI: 10.1111/j.1540-5907.2012.00590.x

  17. Spoken language identification by ergodic HMMS and its state sequences

    Electronics and Communications in Japan (Part III: Fundamental Electronic Science)

    Volume 77, Issue 6, 1994, Pages: 70–79, Seiichi Nakagawa, Takashi Seino and Yoshio Ueda

    Version of Record online : 23 FEB 2007, DOI: 10.1002/ecjc.4430770607

  18. Active and Tuneable Metallic Nanoslit Lenses

    Active Plasmonics and Tuneable Plasmonic Metamaterials

    SATOSHI ISHII, XINGJIE NI, VLADIMIR P. DRACHEV, MARK D. THORESON, VLADIMIR M. SHALAEV, ALEXANDER V. KILDISHEV, Pages: 289–316, 2013

    Published Online : 19 JUN 2013, DOI: 10.1002/9781118634394.ch10

  19. Mixed Hidden Markov Models for Longitudinal Data: An Overview

    International Statistical Review

    Volume 79, Issue 3, December 2011, Pages: 427–454, Antonello Maruotti

    Version of Record online : 21 NOV 2011, DOI: 10.1111/j.1751-5823.2011.00160.x

  20. Fold recognition using predicted secondary structure sequences and hidden Markov models of protein folds

    Proteins: Structure, Function, and Bioinformatics

    Volume 29, Issue S1, 1997, Pages: 123–128, Valentina Di Francesco, V. Geetha, Jean Garnier and Peter J. Munson

    Version of Record online : 7 DEC 1998, DOI: 10.1002/(SICI)1097-0134(1997)1+<123::AID-PROT16>3.0.CO;2-Q