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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2008
202views more  BMCBI 2008»
15 years 1 months ago
Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
BMCBI
2007
103views more  BMCBI 2007»
15 years 1 months ago
A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance
Background: The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR). Recently...
Shunpu Zhang
BMCBI
2008
110views more  BMCBI 2008»
15 years 1 months ago
Testing for treatment effects on gene ontology
In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functi...
Taewon Lee, Varsha G. Desai, Cruz Velasco, Robert ...
BMCBI
2008
136views more  BMCBI 2008»
15 years 1 months ago
GPAT: Retrieval of genomic annotation from large genomic position datasets
Background: Recent genome wide transcription factor binding site or chromatin modification mapping analysis techniques, such as chromatin immunoprecipitation (ChIP) linked to DNA ...
Arnaud Krebs, Mattia Frontini, Làszlò...
BMCBI
2004
162views more  BMCBI 2004»
15 years 1 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...