DAnTE: a statistical tool for quantitative analysis of -omics data

@article{Polpitiya2008DAnTEAS,
  title={DAnTE: a statistical tool for quantitative analysis of -omics data},
  author={Ashoka D. Polpitiya and Wei-Jun Qian and Navdeep Jaitly and Vladislav A. Petyuk and Joshua N. Adkins and David G. Camp and Gordon A. Anderson and Richard D. Smith},
  journal={Bioinformatics},
  year={2008},
  volume={24 13},
  pages={1556-8}
}
UNLABELLED Data Analysis Tool Extension (DAnTE) is a statistical tool designed to address challenges associated with quantitative bottom-up, shotgun proteomics data. This tool has also been demonstrated for microarray data and can easily be extended to other high-throughput data types. DAnTE features selected normalization methods, missing value imputation algorithms, peptide-to-protein rollup methods, an extensive array of plotting functions and a comprehensive hypothesis-testing scheme that… CONTINUE READING
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