BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments-Reference-Cited by-同舟云学术

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BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments

Published:2008-10-06 Issue:1 Volume:9 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Angelini Claudia,Cutillo Luisa,De Canditiis Daniela,Mutarelli Margherita,Pensky Marianna

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-9-415.pdf

Reference23 articles.

1. Tusher V, Tibshirani R, Chu C: Significance analysis of microarrays applied to the ionizing radiation response. PNAS 2001, 98: 5116–5121.

2. Kerr MK, Martin M, Churchill GA: Analysis of variance for gene expression microarray data. Journal of Computational Biology 2000, 7: 819–837.

3. Park T, Yi SG, Lee S, Lee SY, Yoo DH, Ahn JI, Lee YS: Statistical tests for identifying differentially expressed genes in time course microarray experiments. Bioinformatics 2003, 19: 694–703.

4. Di Camillo B, Sanchez-Cabo F, Toffolo G, Nair SK, Trajanosky Z, Cobelli C: A quantization method mased on threshold optimization for microarray short time series. BMC Bioinformatics 2005, 6(Suppl 4):S11.

5. Smyth GK: Limma: linear models for microarray data. In Bioinformatics and Computational Biology Solutions using R and Bioconductor. Edited by: Gentleman R, Carey V, Dudoit S, Irizarry R, Huber W. Springer; 2005:397–420.

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