Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data

@article{Ideker2000TestingFD,
  title={Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data},
  author={Trey Ideker and Vesteinn Thorsson and Andrew F. Siegel and Leroy E. Hood},
  journal={Journal of computational biology : a journal of computational molecular cell biology},
  year={2000},
  volume={7 6},
  pages={805-17}
}
Although two-color fluorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarray data are still evolving. Here, we report a refined test for differentially expressed genes which does not rely on gene expression ratios but directly compares a series of repeated measurements of the two dye intensities for each gene. This test uses a statistical model to describe multiplicative and additive errors… CONTINUE READING
Highly Influential
This paper has highly influenced 14 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS