A Two-Stage Poisson Model for Testing RNA-Seq Data
Author
Abstract
Suggested Citation
DOI: 10.2202/1544-6115.1627
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Pounds Stanley B. & Gao Cuilan L. & Zhang Hui, 2012. "Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of Sequence Count Expression Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-32, October.
- Mélina Gallopin & Andrea Rau & Florence Jaffrézic, 2013. "A Hierarchical Poisson Log-Normal Model for Network Inference from RNA Sequencing Data," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
- Thanh Nguyen & Asim Bhatti & Samuel Yang & Saeid Nahavandi, 2016. "RNA-Seq Count Data Modelling by Grey Relational Analysis and Nonparametric Gaussian Process," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
- Cui Shiqi & Ji Tieming & Li Jilong & Cheng Jianlin & Qiu Jing, 2016. "What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(2), pages 87-105, April.
More about this item
Keywords
next-generation sequencing; RNA-Seq; differential expression;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sagmbi:v:10:y:2011:i:1:n:26. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.