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Carmen J. Marsit
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2010 – 2019
- 2017
- [c2]Jeffrey A. Thompson, Carmen J. Marsit:
A Methylation-to-Expression Feature Model for Generating Accurate Prognostic Risk Scores and Identifying Disease Targets in Clear Cell Kidney Cancer. PSB 2017: 509-520 - 2016
- [j7]Eugene Andres Houseman
, Molly L. Kile, David C. Christiani, Tan A. Ince
Reference-free deconvolution of DNA methylation data and mediation by cell composition effects. BMC Bioinform. 17: 259 (2016) - 2015
- [j6]Eugene Andres Houseman
Cell-composition effects in the analysis of DNA methylation array data: a mathematical perspective. BMC Bioinform. 16: 95:1-95:16 (2015) - 2014
- [j5]Eugene Andres Houseman
Reference-free cell mixture adjustments in analysis of DNA methylation data. Bioinform. 30(10): 1431-1439 (2014) - 2012
- [j4]Eugene Andres Houseman
DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 13: 86 (2012) - 2010
- [j3]Devin C. Koestler
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. Bioinform. 26(20): 2578-2585 (2010)
2000 – 2009
- 2009
- [j2]Eugene Andres Houseman
Copy number variation has little impact on bead-array-based measures of DNA methylation. Bioinform. 25(16): 1999-2005 (2009) - 2008
- [j1]Eugene Andres Houseman
Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions. BMC Bioinform. 9 (2008) - [c1]Yuanyuan Xiao, Mark R. Segal, Eugene Andres Houseman, Joseph Wiemels, John K. Wiencke, Shichun Zheng, Margaret R. Wrensch, Brock C. Christensen, Carmen J. Marsit, Karl T. Kelsey, Heather H. Nelson
Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms. BMEI (1) 2008: 447-452
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