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Journal Articles
- 2009
[j23]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:
Detecting glycan cancer biomarkers in serum samples using MALDI FT-ICR mass spectrometry data. Bioinform. 25(2): 251-257 (2009)- [j22]David M. Rocke, Trey Ideker, Olga G. Troyanskaya, John Quackenbush, Joaquín Dopazo:
Papers on normalization, variable selection, classification or clustering of microarray data. Bioinform. 25(6): 701-702 (2009) - 2008
- [j21]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:
Assessing probe-specific dye and slide biases in two-color microarray data. BMC Bioinform. 9 (2008) - [j20]Yuanxin Xi, David M. Rocke:
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis. BMC Bioinform. 9 (2008) - 2007
- [j19]Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. Lebrilla, David M. Rocke:
On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve. BMC Bioinform. 8 (2007) - 2005
- [j18]Lei Zhou, David M. Rocke:
An expression index for Affymetrix GeneChips based on the generalized logarithm. Bioinform. 21(21): 3983-3989 (2005) - [j17]David M. Rocke, Zelanna Goldberg, Chad Schweitert, Alison Santana:
A method for detection of differential gene expression in the presence of inter-individual variability in response. Bioinform. 21(21): 3990-3992 (2005) - [j16]Shagufta Aslam, David M. Rocke:
A robust testing procedure for the equality of covariance matrices. Comput. Stat. Data Anal. 49(3): 863-874 (2005) - 2004
- [j15]Blythe Durbin, David M. Rocke:
Variance-stabilizing transformations for two-color microarrays. Bioinform. 20(5): 660-667 (2004) - [j14]Johanna S. Hardin, David M. Rocke:
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator. Comput. Stat. Data Anal. 44(4): 625-638 (2004) - [j13]Danh V. Nguyen, David M. Rocke:
On partial least squares dimension reduction for microarray-based classification: a simulation study. Comput. Stat. Data Anal. 46(3): 407-425 (2004) - [j12]Jian J. Dai, Stefan Lorenzato, David M. Rocke:
A knowledge-based model of watershed assessment for sediment. Environ. Model. Softw. 19(4): 423-433 (2004) - [j11]Machelle D. Wilson, Susan L. Ustin, David M. Rocke:
Classification of contamination in salt marsh plants using hyperspectral reflectance. IEEE Trans. Geosci. Remote. Sens. 42(5): 1088-1095 (2004) - 2003
- [j10]David M. Rocke, Blythe Durbin:
Approximate Variance-stabilizing Transformations for Gene-expression Microarray Data. Bioinform. 19(8): 966-972 (2003) - [j9]Blythe Durbin, David M. Rocke:
Estimation of Transformation Parameters for Microarray Data. Bioinform. 19(11): 1360-1367 (2003) - [j8]Sue C. Geller, Jeff P. Gregg, Paul Hagerman, David M. Rocke:
Transformation and normalization of oligonucleotide microarray data. Bioinform. 19(14): 1817-1823 (2003) - [j7]David M. Rocke, Jian J. Dai:
Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data. Data Min. Knowl. Discov. 7(2): 215-232 (2003) - 2002
- [j6]Danh V. Nguyen, David M. Rocke:
Tumor classification by partial least squares using microarray gene expression data. Bioinform. 18(1): 39-50 (2002) - [j5]Danh V. Nguyen, David M. Rocke:
Multi-class cancer classification via partial least squares with gene expression profiles. Bioinform. 18(9): 1216-1226 (2002) - [j4]Danh V. Nguyen, David M. Rocke:
Partial least squares proportional hazard regression for application to DNA microarray survival data. Bioinform. 18(12): 1625-1632 (2002) - 2001
- [j3]David M. Rocke, Blythe Durbin:
A Model for Measurement Error for Gene Expression Arrays. J. Comput. Biol. 8(6): 557-569 (2001) - 2000
- [j2]Jian J. Dai, David M. Rocke:
A GIS-based approach to spatial allocation of area source solvent emissions. Environ. Model. Softw. 15(2-3): 293-302 (2000) - 1999
- [j1]Geoffrey Jones, David M. Rocke:
Bootstrapping in Controlled Calibration Experiments. Technometrics 41(3): 224-233 (1999)
Conference and Workshop Papers
- 2020
- [c5]John T. Halloran, David M. Rocke:
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. NeurIPS 2020 - 2018
- [c4]John T. Halloran, David M. Rocke:
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. NeurIPS 2018: 5425-5435 - 2017
- [c3]John T. Halloran, David M. Rocke:
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. NIPS 2017: 5724-5733 - 2002
- [c2]David M. Rocke, David L. Woodruff:
Computational Connections between Robust Multivariate Analysis and Clustering. COMPSTAT 2002: 255-260 - [c1]Blythe Durbin, Johanna S. Hardin, Douglas M. Hawkins, David M. Rocke:
A variance-stabilizing transformation for gene-expression microarray data. ISMB 2002: 105-110
Informal and Other Publications
- 2020
- [i3]John T. Halloran, David M. Rocke:
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. CoRR abs/2008.03433 (2020) - 2019
- [i2]John T. Halloran, David M. Rocke:
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. CoRR abs/1909.02093 (2019) - [i1]John T. Halloran, David M. Rocke:
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. CoRR abs/1909.02136 (2019)
Coauthor Index
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