Bayesian hidden Markov modeling of array CGH data
The normal genomic code of human females consists of 23 matched pairs of chromosomes.
The genomic code of human males consists of 22 matched pairs of autosomal …
The genomic code of human males consists of 22 matched pairs of autosomal …
Bayesian hidden Markov modeling of array CGH data
Genomic alterations have been linked to the development and progression of cancer. The
technique of comparative genomic hybridization (CGH) yields data consisting of …
technique of comparative genomic hybridization (CGH) yields data consisting of …
Continuous-index hidden Markov modelling of array CGH copy number data
Motivation: In recent years, a range of techniques for analysis and segmentation of array
comparative genomic hybridization (aCGH) data have been proposed. For array designs in …
comparative genomic hybridization (aCGH) data have been proposed. For array designs in …
Robust hidden semi-Markov modeling of array CGH data
As an extension to hidden Markov models, the hidden semi-Markov models allow the
probability distribution of staying in the same state to be a general distribution. Therefore …
probability distribution of staying in the same state to be a general distribution. Therefore …
[HTML][HTML] Hidden Markov models for the assessment of chromosomal alterations using high-throughput SNP arrays
RB Scharpf, G Parmigiani, J Pevsner… - The annals of applied …, 2008 - ncbi.nlm.nih.gov
Chromosomal DNA is characterized by variation between individuals at the level of entire
chromosomes (eg aneuploidy in which the chromosome copy number is altered), segmental …
chromosomes (eg aneuploidy in which the chromosome copy number is altered), segmental …
A latent class model with hidden markov dependence for array cgh data
Array CGH is a high-throughput technique designed to detect genomic alterations linked to
the development and progression of cancer. The technique yields fluorescence ratios that …
the development and progression of cancer. The technique yields fluorescence ratios that …
A hidden Markov model approach for prediction of genomic alterations from gene expression profiling
H Geng, HH Ali, WC Chan - … Symposium, ISBRA 2008, Atlanta, GA, USA …, 2008 - Springer
The mRNA transcript changes detected by Gene Expression Profiling (GEP) have been
found to be correlated with corresponding DNA copy number variations detected by …
found to be correlated with corresponding DNA copy number variations detected by …
Sticky hidden Markov modeling of comparative genomic hybridization
We develop a sticky hidden Markov model (HMM) with a Dirichlet distribution (DD) prior,
motivated by the problem of analyzing comparative genomic hybridization (CGH) data. As …
motivated by the problem of analyzing comparative genomic hybridization (CGH) data. As …
Statistical issues in the analysis of the array CGH data
J Fridlyand, A Snijders, D Pinkel… - … . Proceedings of the …, 2003 - ieeexplore.ieee.org
The development of solid tumors is associated with acquisition of complex genetic
alterations, indicating that failures in the mechanisms that maintain the integrity of the …
alterations, indicating that failures in the mechanisms that maintain the integrity of the …
[PDF][PDF] Hidden Markov Models in Bioinformatics with Application to Gene Finding in Human DNA 308-761 Machine Learning Project
K Smith - 2002 - Citeseer
The goal of this paper is to review the theory of Hidden Markov Models (HMM), to introduce
problems in computational biology that can be solved using model-based approaches and …
problems in computational biology that can be solved using model-based approaches and …