Mining frequent sequential patterns with first-occurrence forests. - Erich A. Peterson; Peiyi Tang (ACM Southeast Regional Conference, 2008)

A hybrid approach to mining frequent sequential patterns. - Erich Allen Peterson; Peiyi Tang (ACM Southeast Regional Conference, 2009)

Mining relaxed closed subspace clusters. - Erich A. Peterson; Peiyi Tang (ACM Southeast Regional Conference, 2010)

Subjective evaluation of perception of accuracy in visualization of data. - Ahmed Abuhalimeh; M. Eduard Tudoreanu; Erich A. Peterson (ICIQ, 2010)

Mining probabilistic frequent closed itemsets in uncertain databases. - Peiyi Tang; Erich A. Peterson (ACM Southeast Regional Conference, 2011)

Fast approximation of probabilistic frequent closed itemsets. - Erich A. Peterson; Peiyi Tang (ACM Southeast Regional Conference, 2012)

Mining probabilistic generalized frequent itemsets in uncertain databases. - Erich A. Peterson; Peiyi Tang (ACM Southeast Regional Conference, 2013)

Towards the integration, annotation and association of historical microarray experiments with RNA-seq. - Shweta S. Chavan; Michael A. Bauer 002; Erich A. Peterson; Christoph J. Heuck; Donald J. Johann (BMC Bioinform., 2013)

Leveraging the new with the old: providing a framework for the integration of historic microarray studies with next generation sequencing. - Michael A. Bauer 002; Shweta S. Chavan; Erich A. Peterson; Christoph J. Heuck; Donald J. Johann (BMC Bioinform., 2014)

Revealing the inherent heterogeneity of human malignancies by variant consensus strategies coupled with cancer clonal analysis. - Erich A. Peterson; Shweta S. Chavan; Michael A. Bauer 002; Christoph J. Heuck; Donald J. Johann (BMC Bioinform., 2014)

TarPan: an easily adaptable targeted sequencing panel viewer for research and clinical use. - Cody Ashby; Michael W. Rutherford; Michael A. Bauer 002; Erich A. Peterson; Yan Wang; Eileen M. Boyle; Christopher Paul Wardell; Brian A. Walker (BMC Bioinform., 2020)

NPARS - A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science. - Li Ma; Erich A. Peterson; Ik Jae Shin; Jason Muesse; Katy Marino; Matthew A. Steliga; Donald J. Johann (Frontiers Big Data, 2021)