A hidden Markov model approach for determining expression from genomic tiling micro arrays
<p>Abstract</p> <p>Background</p> <p>Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of these data have been performed in an <it>ad hoc </it>fashi...
Main Authors: | Krogh Anders, Arctander Peter, Gardner Paul P, Munch Kasper |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-05-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/239 |
Similar Items
-
Evolving the Structure of Hidden Markov Models
by: Won, Kyoung-Jae, et al.
Published: (2006) -
Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling)
by: Beuf Kristof, et al.
Published: (2012-09-01) -
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models
by: Stephen Adams, et al.
Published: (2016-01-01) -
Hidden Markov models for evolution and comparative genomics analysis.
by: Nadezda A Bykova, et al.
Published: (2013-01-01) -
Applying Data Clustering on Determining the Number of Hidden States of Hidden Markov Model
by: I-HSIN LIN, et al.
Published: (2017)