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Conference Paper: Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues
| Title | Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues |
|---|---|
| Authors | |
| Keywords | Dirichlet distribution Gene expression Mixture distributions Multinomial distribution Shrinkage estimators |
| Issue Date | 2006 |
| Publisher | American Statistical Association |
| Citation | American Statistical Association 2006 Joint Statistical Meetings, Seattle, WA, 6-10 August 2006, p. 119 How to Cite? |
| Abstract | ESTs (Expressed Sequence Tags) are usually a one-pass sequencing
reading of cloned cDNAs derived from a certain tissue. Th e frequency
of unique tags among diff erent unbiased cDNA libraries is used to infer
the relative expression level of each tag. In this paper, we consider
a multinomial model with novel priors of nonlinear Dirichlet distributions
for EST data with multiple libraries and/or multiple types of
tissues. Th e properties of the priors and the implied posteriors are examined
in detail. Gene selection algorithms are developed to detect
the co-expression within the same type of tissue and the diff erential
expression between diff erent types of tissues. A real EST dataset is used
to illustrate the proposed model. |
| Persistent Identifier | http://hdl.handle.net/10722/106637 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yu, F | en_HK |
| dc.contributor.author | Chen, MH | en_HK |
| dc.contributor.author | Kuo, L | en_HK |
| dc.contributor.author | Huang, P | en_HK |
| dc.contributor.author | Yang, W | en_HK |
| dc.date.accessioned | 2010-09-25T23:24:03Z | - |
| dc.date.available | 2010-09-25T23:24:03Z | - |
| dc.date.issued | 2006 | en_HK |
| dc.identifier.citation | American Statistical Association 2006 Joint Statistical Meetings, Seattle, WA, 6-10 August 2006, p. 119 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/106637 | - |
| dc.description.abstract | ESTs (Expressed Sequence Tags) are usually a one-pass sequencing reading of cloned cDNAs derived from a certain tissue. Th e frequency of unique tags among diff erent unbiased cDNA libraries is used to infer the relative expression level of each tag. In this paper, we consider a multinomial model with novel priors of nonlinear Dirichlet distributions for EST data with multiple libraries and/or multiple types of tissues. Th e properties of the priors and the implied posteriors are examined in detail. Gene selection algorithms are developed to detect the co-expression within the same type of tissue and the diff erential expression between diff erent types of tissues. A real EST dataset is used to illustrate the proposed model. | - |
| dc.language | eng | en_HK |
| dc.publisher | American Statistical Association | - |
| dc.relation.ispartof | American Statistical Association Joint Statistical Meetings, JSM 2006 | en_HK |
| dc.subject | Dirichlet distribution | - |
| dc.subject | Gene expression | - |
| dc.subject | Mixture distributions | - |
| dc.subject | Multinomial distribution | - |
| dc.subject | Shrinkage estimators | - |
| dc.title | Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues | en_HK |
| dc.type | Conference_Paper | en_HK |
| dc.identifier.email | Yang, W: yangwl@hkucc.hku.hk | en_HK |
| dc.identifier.authority | Yang, W=rp00524 | en_HK |
| dc.identifier.hkuros | 129320 | en_HK |