An expectation maximization algorithm for training hidden substitution models.
about
XRate: a fast prototyping, training and annotation tool for phylo-grammarsEvolutionary models for insertions and deletions in a probabilistic modeling framework.A probabilistic model for the evolution of RNA structureRooting a phylogenetic tree with nonreversible substitution modelsA site- and time-heterogeneous model of amino acid replacement.How reliably can we predict the reliability of protein structure predictions?Fitting Birth-Death Processes to Panel Data with Applications to Bacterial DNA FingerprintingA class frequency mixture model that adjusts for site-specific amino acid frequencies and improves inference of protein phylogeny.Identifying novel constrained elements by exploiting biased substitution patternsEvolutionary triplet models of structured RNAEREM: Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution.Comparison of methods for calculating conditional expectations of sufficient statistics for continuous time Markov chains.A note on probabilistic models over strings: the linear algebra approach.PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions.Efficient maximum likelihood parameterization of continuous-time Markov processes.Impact of pre-adapted HIV transmission.Investigating protein-coding sequence evolution with probabilistic codon substitution models.Learning to count: robust estimates for labeled distances between molecular sequences.Calculating Higher-Order Moments of Phylogenetic Stochastic Mapping Summaries in Linear Time.Antibody-specific model of amino acid substitution for immunological inferences from alignments of antibody sequences.Phylogenetic mixture models for proteins.Estimation for general birth-death processes.Mammalian genomes ease location of human DNA functional segments but not their descriptionSIMULATION FROM ENDPOINT-CONDITIONED, CONTINUOUS-TIME MARKOV CHAINS ON A FINITE STATE SPACE, WITH APPLICATIONS TO MOLECULAR EVOLUTION.Fast, accurate and simulation-free stochastic mapping.Modeling protein evolution with several amino acid replacement matrices depending on site rates.Unbiased estimate of synonymous and non-synonymous substitution rates with non-stationary base composition.Historian: accurate reconstruction of ancestral sequences and evolutionary rates.Generator estimation of Markov jump processes based on incomplete observations nonequidistant in time.
P2860
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P2860
An expectation maximization algorithm for training hidden substitution models.
description
2002 nî lūn-bûn
@nan
2002 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
An expectation maximization algorithm for training hidden substitution models.
@ast
An expectation maximization algorithm for training hidden substitution models.
@en
An expectation maximization algorithm for training hidden substitution models.
@nl
type
label
An expectation maximization algorithm for training hidden substitution models.
@ast
An expectation maximization algorithm for training hidden substitution models.
@en
An expectation maximization algorithm for training hidden substitution models.
@nl
prefLabel
An expectation maximization algorithm for training hidden substitution models.
@ast
An expectation maximization algorithm for training hidden substitution models.
@en
An expectation maximization algorithm for training hidden substitution models.
@nl
P356
P1476
An expectation maximization algorithm for training hidden substitution models
@en
P2093
P304
P356
10.1006/JMBI.2002.5405
P407
P577
2002-04-01T00:00:00Z