A graph-theoretic approach to testing associations between disparate sources of functional genomics data. - Raji Balasubramanian; Thomas LaFramboise; Denise Scholtens; Robert Gentleman (Bioinform., 2004)

Local modeling of global interactome networks. - Denise Scholtens; Marc Vidal; Robert Gentleman (Bioinform., 2005)

Estimating node degree in bait-prey graphs. - Denise Scholtens; Tony Chiang; Wolfgang Huber; Robert Gentleman (Bioinform., 2008)

Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. - Michael Nodzenski; Michael J. Muehlbauer; James R. Bain; Anna C. Reisetter; William L. Lowe Jr.; Denise M. Scholtens (Bioinform., 2014)

A graph data model facilitates analysis of collaboration in an emergency department. - Matthew B. Carson; Stephanie Gravenor; Young Ji Lee; Denise M. Scholtens; Conor Frailey; Nicholas D. Soulakis (AMIA, 2015)

Visualizing collaborative electronic health record usage for hospitalized patients with heart failure. - Nicholas D. Soulakis; Matthew B. Carson; Young Ji Lee; Daniel H. Schneider; Connor T. Skeehan; Denise M. Scholtens (J. Am. Medical Informatics Assoc., 2015)

An outcome-weighted network model for quantifying and measuring collaboration in a hospital cardiology unit. - Matthew B. Carson; Denise M. Scholtens; Conor Frailey; Stephanie Gravenor; Emilie Powell; Amy Y. Wang; Gayle Shier Kricke; Faraz S. Ahmad; Raja K. Mutharasan; Nicholas D. Soulakis (AMIA, 2016)

Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data. - Anna C. Reisetter; Michael J. Muehlbauer; James R. Bain; Michael Nodzenski; Robert D. Stevens 002; Olga Ilkayeva; Boyd E. Metzger; Christopher B. Newgard; William L. Lowe Jr.; Denise M. Scholtens (BMC Bioinform., 2017)

Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. - William H. Majoros; Young-Sook Kim; Alejandro Barrera; Fan Li; Xingyan Wang; Sarah J. Cunningham; Graham D. Johnson; Cong Guo; William L. Lowe; Denise M. Scholtens; M. Geoffrey Hayes; Timothy E. Reddy; et al. (Bioinform., 2020)

Path-level interpretation of Gaussian graphical models using the pair-path subscore. - Nathan P. Gill; Raji Balasubramanian; James R. Bain; Michael J. Muehlbauer; William L. Lowe Jr.; Denise M. Scholtens (BMC Bioinform., 2022)

Correction: Path-level interpretation of Gaussian graphical models using the pair-path subscore. - Nathan P. Gill; Raji Balasubramanian; James R. Bain; Michael J. Muehlbauer; William L. Lowe; Denise M. Scholtens (BMC Bioinform., 2022)

psHarmonize: Facilitating reproducible large-scale pre-statistical data harmonization and documentation in R. - John J. Stephen; Padraig Carolan; Amy E. Krefman; Sanaz Sedaghat; Maxwell Mansolf; Norrina B. Allen; Denise M. Scholtens (Patterns, 2024)