MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing

@article{Zheng2021MixTwiceLH,
  title={MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing},
  author={Zihao Zheng and Aisha M. Mergaert and Irene M. Ong and Miriam A. Shelef and Michael A. Newton},
  journal={Bioinformatics},
  year={2021},
  volume={37},
  pages={2637 - 2643}
}
Abstract Summary Peptide microarrays have emerged as a powerful technology in immunoproteomics as they provide a tool to measure the abundance of different antibodies in patient serum samples. The high dimensionality and small sample size of many experiments challenge conventional statistical approaches, including those aiming to control the false discovery rate (FDR). Motivated by limitations in reproducibility and power of current methods, we advance an empirical Bayesian tool that computes… Expand

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