Stanley Pounds
List of publications from the DBLP Bibliography Server - FAQ| 2013 | ||
|---|---|---|
| j18 | Mehmet Kocak, E. Olusegun George, Saumyadipta Pyne, Stanley Pounds: An empirical Bayes approach for analysis of diverse periodic trends in time-course gene expression data. Bioinformatics 29(2): 182-188 (2013) | |
| j17 | Shengping Yang, Stanley Pounds, Kun Zhang, Zhide Fang: PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays. Bioinformatics 29(3): 299-307 (2013) | |
| 2011 | ||
| j16 | Stan Pounds, Cuilan Lani Gao, Robert A. Johnson, Karen D. Wright, Helen Poppleton, David Finkelstein, Sarah E. S. Leary, Richard J. Gilbertson: A procedure to statistically evaluate agreement of differential expression for cross-species genomics. Bioinformatics 27(15): 2098-2103 (2011) | |
| j15 | Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, Ching-Hon Pui, William E. Evans, Mary Relling: Integrated analysis of pharmacologic, clinical and SNP microarray data using Projection Onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing. IJDMB 5(2): 143-157 (2011) | |
| 2010 | ||
| j14 | Fridtjof Thomas, Stanley Pounds: A Bayesian change-point algorithm for detecting copy number alteration. BMC Bioinformatics 11(S-4): P17 (2010) | |
| 2009 | ||
| j13 | Stan Pounds, Cheng Cheng, Charles Mullighan, Susana C. Raimondi, Sheila Shurtleff, James R. Downing: Reference alignment of SNP microarray signals for copy number analysis of tumors. Bioinformatics 25(3): 315-321 (2009) | |
| j12 | Stan Pounds, Cheng Cheng: Erratum: sample size determination for the false discovery rate. Bioinformatics 25(5): 698-699 (2009) | |
| j11 | Stan Pounds, Cheng Cheng, Xueyuan Cao, Kristine R. Crews, William Plunkett, Varsha Gandhi, Jeffrey Rubnitz, Raul C. Ribeiro, James R. Downing, Jatinder Lamba: PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables. Bioinformatics 25(16): 2013-2019 (2009) | |
| j10 | Stanley Pounds, Shesh N. Rai: Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis. Computational Statistics & Data Analysis 53(5): 1604-1612 (2009) | |
| j9 | Daniel Hunt, Cheng Cheng, Stanley Pounds: The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies. Computational Statistics & Data Analysis 53(5): 1688-1700 (2009) | |
| c1 | Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, William E. Evans, Ching-Hon Pui, Mary Relling: Integrated Analysis of Pharmacokinetic, Clinical, and SNP Microarray Data Using Projection onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing. BIBM 2009: 203-209 | |
| 2008 | ||
| j8 | Stan Pounds, Cheng Cheng, Wenjian Yang, Arzu Onar, Christine Hartford, Susana C. Raimondi, Mary Relling: A permutation-based method to identify loss-of-heterozygosity using paired genotype microarray data. BMC Bioinformatics 9(S-7) (2008) | |
| j7 | Shesh N. Rai, Stanley Pounds: Robust detection method for differential expression studies. BMC Bioinformatics 9(S-7) (2008) | |
| 2006 | ||
| j6 | Stan Pounds: Estimation and control of multiple testing error rates for microarray studies. Briefings in Bioinformatics 7(1): 25-36 (2006) | |
| j5 | Stan Pounds, Cheng Cheng: Robust estimation of the false discovery rate. Bioinformatics 22(16): 1979-1987 (2006) | |
| 2005 | ||
| j4 | Stan Pounds, Cheng Cheng: Sample size determination for the false discovery rate. Bioinformatics 21(23): 4263-4271 (2005) | |
| j3 | Stan Pounds, Cheng Cheng: Statistical Development and Evaluation of Microarray Gene Expression Data Filters. Journal of Computational Biology 12(4): 482-495 (2005) | |
| 2004 | ||
| j2 | Stan Pounds, Cheng Cheng: Improving false discovery rate estimation. Bioinformatics 20(11): 1737-1745 (2004) | |
| 2003 | ||
| j1 | Stan Pounds, Stephan W. Morris: Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values. Bioinformatics 19(10): 1236-1242 (2003) | |
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