Stan Pounds

20 papers Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis.
BMC Bioinform.
Xueyuan Cao, Stan Pounds
2014 J jnl
An R Package that Automatically Collects and Archives Details for Reproducible Computing.
BMC Bioinform.
Zhifa Liu, Stan Pounds
2014 J jnl
The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression.
Bioinform.
Iwona Pawlikowska, Gang Wu, Michael N. Edmonson, Zhifa Liu, Tanja Gruber, Jinghui Zhang, Stan Pounds
2013 J jnl
A genomic random interval model for statistical analysis of genomic lesion data.
Bioinform.
Stan Pounds, Cheng Cheng, Shaoyu Li, Zhifa Liu, Jinghui Zhang, Charles Mullighan
2013 J jnl
Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data.
BMC Bioinform.
Stan Pounds, Cuilan Lani Gao
2013 J jnl
Our strategy to achieve and document reproducible computing.
BMC Bioinform.
Nisrine Enyinda, Zhifa Liu, Areg Negatu, Stan Pounds
2013 J jnl
Subgroup and outlier detection analysis.
BMC Bioinform.
Gang Wu, Iwona Pawlikowska, Tanja Gruber, James R. Downing, Jinghui Zhang, Stan Pounds
2011 J jnl
A procedure to statistically evaluate agreement of differential expression for cross-species genomics.
Bioinform.
Stan Pounds, Cuilan Lani Gao, Robert A. Johnson, Karen D. Wright, Helen Poppleton, David Finkelstein, Sarah E. S. Leary, Richard J. Gilbertson
2011 J jnl
Integrated analysis of pharmacologic, clinical and SNP microarray data using Projection Onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing.
Int. J. Data Min. Bioinform.
Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, Ching-Hon Pui, William E. Evans, Mary Relling
2009 J jnl
Erratum: sample size determination for the false discovery rate.
Bioinform.
Stan Pounds, Cheng Cheng
2009 — conf
Integrated Analysis of Pharmacokinetic, Clinical, and SNP Microarray Data Using Projection onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing.
BIBM
Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, William E. Evans, Ching-Hon Pui, Mary Relling
2009 J jnl
PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables.
Bioinform.
Stan Pounds, Cheng Cheng, Xueyuan Cao, Kristine R. Crews, William Plunkett, Varsha Gandhi, Jeffrey Rubnitz, Raul C. Ribeiro, James R. Downing, Jatinder Lamba
2009 J jnl
Reference alignment of SNP microarray signals for copy number analysis of tumors.
Bioinform.
Stan Pounds, Cheng Cheng, Charles Mullighan, Susana C. Raimondi, Sheila Shurtleff, James R. Downing
2008 J jnl
A permutation-based method to identify loss-of-heterozygosity using paired genotype microarray data.
BMC Bioinform.
Stan Pounds, Cheng Cheng, Wenjian Yang, Arzu Onar, Christine Hartford, Susana C. Raimondi, Mary Relling
2006 J jnl
Estimation and control of multiple testing error rates for microarray studies.
Briefings Bioinform.
Stan Pounds
2006 J jnl
Robust estimation of the false discovery rate.
Bioinform.
Stan Pounds, Cheng Cheng
2005 J jnl
Sample size determination for the false discovery rate.
Bioinform.
Stan Pounds, Cheng Cheng
2005 J jnl
Statistical Development and Evaluation of Microarray Gene Expression Data Filters.
J. Comput. Biol.
Stan Pounds, Cheng Cheng
2004 J jnl
Improving false discovery rate estimation.
Bioinform.
Stan Pounds, Cheng Cheng
2003 J jnl
Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values.
Bioinform.
Stan Pounds, Stephan W. Morris