Bootstrapping in Controlled Calibration Experiments. - Geoffrey Jones; David M. Rocke (Technometrics, 1999)

A GIS-based approach to spatial allocation of area source solvent emissions. - Jian J. Dai; David M. Rocke (Environ. Model. Softw., 2000)

A Model for Measurement Error for Gene Expression Arrays. - David M. Rocke; Blythe Durbin (J. Comput. Biol., 2001)

Computational Connections between Robust Multivariate Analysis and Clustering. - David M. Rocke; David L. Woodruff (COMPSTAT, 2002)

A variance-stabilizing transformation for gene-expression microarray data. - Blythe Durbin; Johanna S. Hardin; Douglas M. Hawkins; David M. Rocke (ISMB, 2002)

Tumor classification by partial least squares using microarray gene expression data. - Danh V. Nguyen; David M. Rocke (Bioinform., 2002)

Multi-class cancer classification via partial least squares with gene expression profiles. - Danh V. Nguyen; David M. Rocke (Bioinform., 2002)

Partial least squares proportional hazard regression for application to DNA microarray survival data. - Danh V. Nguyen; David M. Rocke (Bioinform., 2002)

Estimation of Transformation Parameters for Microarray Data. - Blythe Durbin; David M. Rocke (Bioinform., 2003)

Transformation and normalization of oligonucleotide microarray data. - Sue C. Geller; Jeff P. Gregg; Paul Hagerman; David M. Rocke (Bioinform., 2003)

Approximate Variance-stabilizing Transformations for Gene-expression Microarray Data. - David M. Rocke; Blythe Durbin (Bioinform., 2003)

Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data. - David M. Rocke; Jian J. Dai (Data Min. Knowl. Discov., 2003)

Variance-stabilizing transformations for two-color microarrays. - Blythe Durbin; David M. Rocke (Bioinform., 2004)

Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator. - Johanna S. Hardin; David M. Rocke (Comput. Stat. Data Anal., 2004)

On partial least squares dimension reduction for microarray-based classification: a simulation study. - Danh V. Nguyen; David M. Rocke (Comput. Stat. Data Anal., 2004)

A knowledge-based model of watershed assessment for sediment. - Jian J. Dai; Stefan Lorenzato; David M. Rocke (Environ. Model. Softw., 2004)

Classification of contamination in salt marsh plants using hyperspectral reflectance. - Machelle D. Wilson; Susan L. Ustin; David M. Rocke (IEEE Trans. Geosci. Remote. Sens., 2004)

A method for detection of differential gene expression in the presence of inter-individual variability in response. - David M. Rocke; Zelanna Goldberg; Chad Schweitert; Alison Santana (Bioinform., 2005)

An expression index for Affymetrix GeneChips based on the generalized logarithm. - Lei Zhou; David M. Rocke (Bioinform., 2005)

A robust testing procedure for the equality of covariance matrices. - Shagufta Aslam; David M. Rocke (Comput. Stat. Data Anal., 2005)

On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve. - Jingjing Ye; Hao Liu; Crystal Kirmiz; Carlito B. Lebrilla; David M. Rocke (BMC Bioinform., 2007)

Assessing probe-specific dye and slide biases in two-color microarray data. - Ruixiao Lu; Geun-Cheol Lee; Michael Shultz; Chris Dardick; Kihong Jung; Jirapa Phetsom; Yi Jia; Robert H. Rice; Zelanna Goldberg; Patrick S. Schnable; Pamela C. Ronald; David M. Rocke (BMC Bioinform., 2008)

Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis. - Yuanxin Xi; David M. Rocke (BMC Bioinform., 2008)

Detecting glycan cancer biomarkers in serum samples using MALDI FT-ICR mass spectrometry data. - Donald A. Barkauskas; Hyun Joo An; Scott R. Kronewitter; Maria Lorna de Leoz; Helen K. Chew; Ralph W. de Vere White; Gary S. Leiserowitz; Suzanne Miyamoto; Carlito B. Lebrilla; David M. Rocke (Bioinform., 2009)

Papers on normalization, variable selection, classification or clustering of microarray data. - David M. Rocke; Trey Ideker; Olga G. Troyanskaya; John Quackenbush; Joaquín Dopazo (Bioinform., 2009)

Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. - John T. Halloran; David M. Rocke (NIPS, 2017)

Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. - John T. Halloran; David M. Rocke (NeurIPS, 2018)

GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. - John T. Halloran; David M. Rocke (NeurIPS, 2020)