These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

344 related articles for article (PubMed ID: 24001407)

  • 21. Optimisation of HMM topologies enhances DNA and protein sequence modelling.
    Friedrich T; Koetschan C; Müller T
    Stat Appl Genet Mol Biol; 2010; 9():Article 6. PubMed ID: 20196756
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A learning method of hidden Markov models for sequence discrimination.
    Mamitsuka H
    J Comput Biol; 1996; 3(3):361-73. PubMed ID: 8891955
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Designing patterns for profile HMM search.
    Sun Y; Buhler J
    Bioinformatics; 2007 Jan; 23(2):e36-43. PubMed ID: 17237102
    [TBL] [Abstract][Full Text] [Related]  

  • 24. GANN: genetic algorithm neural networks for the detection of conserved combinations of features in DNA.
    Beiko RG; Charlebois RL
    BMC Bioinformatics; 2005 Feb; 6():36. PubMed ID: 15725347
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Snap-drift neural network for self-organisation and sequence learning.
    Palmer-Brown D; Jayne C
    Neural Netw; 2011 Oct; 24(8):897-905. PubMed ID: 21723705
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Clustering: a neural network approach.
    Du KL
    Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Large-scale data exploration with the hierarchically growing hyperbolic SOM.
    Ontrup J; Ritter H
    Neural Netw; 2006; 19(6-7):751-61. PubMed ID: 16806818
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Hidden Markov models in computational biology. Applications to protein modeling.
    Krogh A; Brown M; Mian IS; Sjölander K; Haussler D
    J Mol Biol; 1994 Feb; 235(5):1501-31. PubMed ID: 8107089
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Hidden Markov models and iterative aligners: study of their equivalence and possibilities.
    Tanaka H; Ishikawa M; Asai K; Konagaya A
    Proc Int Conf Intell Syst Mol Biol; 1993; 1():395-401. PubMed ID: 7584363
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Self-organizing maps with asymmetric neighborhood function.
    Aoki T; Aoyagi T
    Neural Comput; 2007 Sep; 19(9):2515-35. PubMed ID: 17650068
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A clustering approach for estimating parameters of a profile hidden Markov model.
    Aghdam R; Pezeshk H; Malekpour SA; Shemehsavar S; Eslahchi C
    Int J Data Min Bioinform; 2013; 8(1):66-82. PubMed ID: 23865165
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of protein interdomain linker regions by a hidden Markov model.
    Bae K; Mallick BK; Elsik CG
    Bioinformatics; 2005 May; 21(10):2264-70. PubMed ID: 15746283
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling.
    Huda S; Yearwood J; Togneri R
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):182-97. PubMed ID: 19068441
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Non parametric, self organizing, scalable modeling of spatiotemporal inputs: the sign language paradigm.
    Caridakis G; Karpouzis K; Drosopoulos A; Kollias S
    Neural Netw; 2012 Dec; 36():157-66. PubMed ID: 23137923
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Simultaneous sequence alignment and tree construction using hidden Markov models.
    Edgar RC; Sjölander K
    Pac Symp Biocomput; 2003; ():180-91. PubMed ID: 12603027
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification.
    Fong Y; Wakefield J; Rice K
    Biostatistics; 2010 Jan; 11(1):18-33. PubMed ID: 19696187
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bayesian basecalling for DNA sequence analysis using hidden Markov models.
    Liang KC; Wang X; Anastassiou D
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(3):430-440. PubMed ID: 17666762
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Extraction of hidden Markov model representations of signal patterns in DNA sequences.
    Yada T; Ishikawa M; Tanaka H; Asai K
    Pac Symp Biocomput; 1996; ():686-96. PubMed ID: 9390268
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Sequence-based protein structure prediction using a reduced state-space hidden Markov model.
    Lampros C; Costas Papaloukas ; Exarchos TP; Yorgos Goletsis ; Fotiadis DI
    Comput Biol Med; 2007 Sep; 37(9):1211-24. PubMed ID: 17161834
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.