A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.
Philippe LamyClaus L. AndersenLars DyrskjotNiels TorringCarsten WiufPublished in: BMC Bioinform. (2007)
Keyphrases
- hidden markov models
- high throughput
- microarray
- single nucleotide polymorphisms
- genome wide
- gene expression
- complex diseases
- estimate the model parameters
- microarray data
- gene expression profiles
- mixture distributions
- genomic data
- gene selection
- speech recognition
- latent variable models
- gene expression data
- cancer diagnosis
- viterbi algorithm
- cancer classification
- handwritten word recognition
- microarray datasets
- biological data
- markov models
- mixture model
- hidden state
- hidden states
- sequential data
- hierarchical dirichlet process
- statistical methods
- conditional random fields
- data sets
- markov model
- high dimensional
- bayesian networks
- dynamic probabilistic networks
- gene sets
- human genome
- generative model
- em algorithm
- expectation maximization
- data mining