Stan Pounds

According to our database, Stan Pounds authored at least 31 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysis.

Xueyuan Cao, Stan Pounds

BMC Bioinform., 2021

2018

Pan-cancer genome and transcriptome analyses of 1, 699 paediatric leukaemias and solid tumours.

Xiaotu Ma, Yu Liu, Yanling Liu, Ludmil B. Alexandrov, Michael N. Edmonson, Charles Gawad, Xin Zhou, Yongjin Li, Michael Rusch, John Easton, Robert Huether, Veronica Gonzalez-Pena, Mark R. Wilkinson, Leandro Hermida, Sean Davis, Edgar Sioson, Stanley Pounds, Xueyuan Cao, Rhonda E. Ries, Zhaoming Wang, Xiang Chen, Li Dong, Sharon J. Diskin, Malcolm A. Smith, Jaime M. Guidry Auvil, Paul S. Meltzer, Ching C. Lau, Elizabeth J. Perlman, John M. Maris, Soheil Meshinchi, Stephen P. Hunger, Daniela S. Gerhard, Jinghui Zhang

Nat., 2018

2017

POST: A framework for set-based association analysis in high-dimensional data.

Xueyuan Cao, E. Olusegun George, Mingjuan Wang, Dale B. Armstrong, Cheng Cheng, Susana C. Raimondi, Jeffrey E. Rubnitz, James R. Downing, Mondira Kundu, Stanley Pounds

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Statistical selection of biological models for genome-wide association analyses.

Wenjian Bi, Guolian Kang, Stanley Pounds

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016: Cadiz, KY, USA. 8-10 April 2016.

Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won Park, Xueyuan Cao, Stanley Pounds, Susana C. Raimondi, James R. Downing, Raul C. Ribeiro, Jeffrey Rubnitz, Jatinder Lamba, Bernie J. Daigle Jr., Deborah Burgess, Stephanie Gehrlich, John C. Carmen, Nicholas Johnson, Chandrakanth Emani, Kalpani De Silva, Michael P. Heaton, Theodore S. Kalbfleisch, Teeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Sen, Eunice Y. Huang, Mohammad Mohebbi, Luaire Florian, Douglas J. Jackson, John F. Naber, Akm Sabbir, Sally R. Ellingson, Yuping Lu, Charles A. Phillips, Michael A. Langston, Rahul Kumar Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan Cui, Mohammed Sayed, Jing Wang, Qi Liu, Yu Shyr, Xiaofei Zhang, Naresh Prodduturi, Gavin R. Oliver, Diane Grill, Jie Na, Jeanette Eckel-Passow, Eric W. Klee, Michael M. Goodin, Mark L. Farman, Harrison Inocencio, Chanyong Jang, Jerzy W. Jaromczyk, Neil Moore, Kelly L. Sovacool, Leon Dent, Mike Izban, Sammed N. Mandape, Shruti S. Sakhare, Siddharth Pratap, Dana Marshall, M. Scotty Depriest, James N. MacLeod, Hanady Adam, Ethan Blandford, Joel Campbell, Joshua Castlen, Brittany Dixon, Ginger Gilbert, Aaron Hall, Philip Kreisle, Jessica Lasher, Bethany Oakes, Allison Speer, Maximilian Valentine, Naga Satya Venkateswara Ra Nagisetty, Rony Jose, Robert W. Rooney, David Hains

BMC Bioinform., August, 2016

CC-PROMISE effectively integrates two forms of molecular data with multiple biologically related endpoints.

Xueyuan Cao, Kristine R. Crews, James R. Downing, Jatinder Lamba, Stanley Pounds

BMC Bioinform., 2016

2014

An R Package that Automatically Collects and Archives Details for Reproducible Computing.

Zhifa Liu, Stan Pounds

BMC Bioinform., 2014

The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression.

Iwona Pawlikowska, Gang Wu, Michael N. Edmonson, Zhifa Liu, Tanja Gruber, Jinghui Zhang, Stan Pounds

Bioinform., 2014

2013

Subgroup and outlier detection analysis.

Gang Wu, Iwona Pawlikowska, Tanja Gruber, James R. Downing, Jinghui Zhang, Stan Pounds

BMC Bioinform., 2013

Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data.

Stan Pounds, Cuilan Lani Gao

BMC Bioinform., 2013

Our strategy to achieve and document reproducible computing.

Nisrine Enyinda, Zhifa Liu, Areg Negatu, Stan Pounds

BMC Bioinform., 2013

PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays.

Shengping Yang, Stanley Pounds, Kun Zhang, Zhide Fang

Bioinform., 2013

A genomic random interval model for statistical analysis of genomic lesion data.

Stan Pounds, Cheng Cheng, Shaoyu Li, Zhifa Liu, Jinghui Zhang, Charles Mullighan

Bioinform., 2013

An empirical Bayes approach for analysis of diverse periodic trends in time-course gene expression data.

Mehmet Kocak, E. Olusegun George, Saumyadipta Pyne, Stanley Pounds

Bioinform., 2013

2011

Integrated analysis of pharmacologic, clinical and SNP microarray data using Projection Onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing.

Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, Ching-Hon Pui, William E. Evans, Mary Relling

Int. J. Data Min. Bioinform., 2011

A procedure to statistically evaluate agreement of differential expression for cross-species genomics.

Stan Pounds, Cuilan Lani Gao, Robert A. Johnson, Karen D. Wright, Helen Poppleton, David Finkelstein, Sarah E. S. Leary, Richard J. Gilbertson

Bioinform., 2011

2010

A Bayesian change-point algorithm for detecting copy number alteration.

Fridtjof Thomas, Stanley Pounds

BMC Bioinform., 2010

2009

Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis.

Stanley Pounds, Shesh N. Rai

Comput. Stat. Data Anal., 2009

The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies.

Daniel Hunt, Cheng Cheng, Stanley Pounds

Comput. Stat. Data Anal., 2009

Reference alignment of SNP microarray signals for copy number analysis of tumors.

Stan Pounds, Cheng Cheng, Charles Mullighan, Susana C. Raimondi, Sheila Shurtleff, James R. Downing

Bioinform., 2009

PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables.

Stan Pounds, Cheng Cheng, Xueyuan Cao, Kristine R. Crews, William Plunkett, Varsha Gandhi, Jeffrey Rubnitz, Raul C. Ribeiro, James R. Downing, Jatinder Lamba

Bioinform., 2009

Erratum: sample size determination for the false discovery rate.

Stan Pounds, Cheng Cheng

Bioinform., 2009

Integrated Analysis of Pharmacokinetic, Clinical, and SNP Microarray Data Using Projection onto the Most Interesting Statistical Evidence with Adaptive Permutation Testing.

Stan Pounds, Xueyuan Cao, Cheng Cheng, Jun J. Yang, Dario Campana, William E. Evans, Ching-Hon Pui, Mary Relling

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Robust detection method for differential expression studies.

Shesh N. Rai, Stanley Pounds

BMC Bioinform., 2008

A permutation-based method to identify loss-of-heterozygosity using paired genotype microarray data.

Stan Pounds, Cheng Cheng, Wenjian Yang, Arzu Onar, Christine Hartford, Susana C. Raimondi, Mary Relling

BMC Bioinform., 2008

2006

Robust estimation of the false discovery rate.

Stan Pounds, Cheng Cheng

Bioinform., 2006

Estimation and control of multiple testing error rates for microarray studies.

Stan Pounds

Briefings Bioinform., 2006

2005

Statistical Development and Evaluation of Microarray Gene Expression Data Filters.

Stan Pounds, Cheng Cheng

J. Comput. Biol., 2005

Sample size determination for the false discovery rate.

Stan Pounds, Cheng Cheng

Bioinform., 2005

2004

Improving false discovery rate estimation.

Stan Pounds, Cheng Cheng

Bioinform., 2004

2003

Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values.

Stan Pounds, Stephan W. Morris

Bioinform., 2003