DNA microarray data clustering by hidden markov models and Bayesian information criterion
In this study, the microarray data under diauxic shift condition of Saccharomyces Cerevisiae was considered. The objective of this study is to propose another strategy of cluster analysis for gene expression levels under time-series conditions. The continuous hidden markov model was newly proposed t...
Saved in:
Main Authors: | Phasit Charoenkwan, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Sakarindr Bhumiratana |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33749419223&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61610 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
DNA microarray data clustering by hidden markov models and Bayesian information criterion
by: Charoenkwan P., et al.
Published: (2014) -
Inference of gene regulatory network by Bayesian network using metropolis-hastings algorithm
by: Khwunta Kirimasthong, et al.
Published: (2018) -
Inference of gene regulatory network by Bayesian network using metropolis-hastings algorithm
by: Kirimasthong K., et al.
Published: (2014) -
An investigation into an alternative transition criterion of the Transitional Markov Chain Monte Carlo method for Bayesian model updating
by: Lye, Adolphus, et al.
Published: (2023) -
HIDDEN MARKOV MODELS
by: FU YIXUE
Published: (2021)