Hidden Markov Models and their Applications in Biological Sequence Analysis.
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Disease Resistance Gene Analogs (RGAs) in PlantsComputational prediction and experimental verification of new MAP kinase docking sites and substrates including Gli transcription factorsDiacylglycerol Kinases Are Widespread in Higher Plants and Display Inducible Gene Expression in Response to Beneficial Elements, Metal, and Metalloid IonsModeling strategic use of human computer interfaces with novel hidden Markov modelsSequence alignment by passing messagesLAceP: lysine acetylation site prediction using logistic regression classifiers.Using Hidden Markov Models to Determine Changes in Subject Data over Time, Studying the Immunoregulatory effect of Mesenchymal Stem Cells.Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.An Introduction to Infinite HMMs for Single-Molecule Data Analysis.Metagenomic Classification Using an Abstraction Augmented Markov ModelPersonalized cancer immunotherapy using Systems Medicine approaches.An efficient graph kernel method for non-coding RNA functional prediction.A Profile Hidden Markov Model to investigate the distribution and frequency of LanB-encoding lantibiotic modification genes in the human oral and gut microbiomeArtificial signal peptide prediction by a hidden markov model to improve protein secretion via Lactococcus lactis bacteriaSparse conserved under-methylated CpGs are associated with high-order chromatin structureHiMMe: using genetic patterns as a proxy for genome assembly reliability assessment.Bayesian structural inference for hidden processes.Here We Are, But Where Do We Go? A Systematic Review of Crustacean Transcriptomic Studies from 2014-2015.VIP Barcoding: composition vector-based software for rapid species identification based on DNA barcoding.Evolutionary diversification of protein-protein interactions by interface add-ons.Flattening and Unpacking Human Genetic Variation in Mexico, Postwar to Present.Introduction to Hidden Markov Models and Its Applications in Biology.The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification.A critical assessment of hidden markov model sub-optimal sampling strategies applied to the generation of peptide 3D models.Large-scale protein function prediction using heterogeneous ensembles
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P2860
Hidden Markov Models and their Applications in Biological Sequence Analysis.
description
article científic
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article scientifique
@fr
articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on September 2009
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@en
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@nl
type
label
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@en
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@nl
prefLabel
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@en
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@nl
P2860
P1433
P1476
Hidden Markov Models and their Applications in Biological Sequence Analysis.
@en
P2093
Byung-Jun Yoon
P2860
P304
P356
10.2174/138920209789177575
P577
2009-09-01T00:00:00Z