Rosetta error model for gene expression analysis

By Lee Weng, Hongyue Dai, Yihui Zhan, Yudong He, Sergey B. Stepaniants, Douglas E. Bassett. Bioinform., 2006

324 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/91c041bcb6ecd62ce2c81a58e7868b205f028b10

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In Molecular Biology

1. Aldons J. Lusis
2. Siu Sylvia Lee
3. Frederick M. Ausubel
4. Eric E. Schadt
5. Dennis H. Kim
6. Valerie Reinke
7. E. Troemel
8. S. Chu

Citations in the corpus

• Tissue-specific expression and regulation of sexually dimorphic genes in mice. (2006, methodology): “First we selected genes that showed significant differential expression (error-model derived P Weng et al. 2006 ) compared to a tissue-specific reference pool in at least 15% of the animals profiled.”
• p38 MAPK Regulates Expression of Immune Response Genes and Contributes to Longevity in C. elegans (2006, methodology): “For each condition, three replicate microarrays were normalized and combined using the Resolver intensity error model for single color chips [50,51].”