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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2010
112views more  BMCBI 2010»
15 years 6 months ago
PhenoFam-gene set enrichment analysis through protein structural information
Background: With the current technological advances in high-throughput biology, the necessity to develop tools that help to analyse the massive amount of data being generated is e...
Maciej Paszkowski-Rogacz, Mikolaj Slabicki, M. Ter...
BMCBI
2006
117views more  BMCBI 2006»
15 years 6 months ago
Analysis of gene expression changes in relation to toxicity and tumorigenesis in the livers of Big Blue transgenic rats fed comf
Background: Comfrey is consumed by humans as a vegetable and a tea, and has been used as an herbal medicine for more than 2000 years. Comfrey, however, is hepatotoxic in livestock...
Nan Mei, Lei Guo, Lu Zhang 0013, Leming M. Shi, Yo...
CSDA
2006
81views more  CSDA 2006»
15 years 6 months ago
A recursive approach to detect multivariable conditional variance components and conditional random effects
A complex trait like crop yield is determined by its component traits. Multivariable conditional analysis in a general mixed linear model is helpful in dissecting the gene express...
Jixiang Wu, Dongfeng Wu, Johnie N. Jenkins Jr., Ja...
BMCBI
2010
104views more  BMCBI 2010»
15 years 6 months ago
Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections
Background: The recent emergence of the H5N1 influenza virus from avian reservoirs has raised concern about future influenza strains of high virulence emerging that could easily i...
Ken Tatebe, Ahmet Zeytun, Ruy M. Ribeiro, Robert H...
DSS
2007
127views more  DSS 2007»
15 years 6 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...