Multivariate Analysis of Imaging Mass Spectrometry Data. - E. R. Muir; I. J. Ndiour; N. A. LeGoasduff; Richard A. Moffitt; Ying Liu; M. Cameron Sullards; Alfred H. Merrill; Yanfeng Chen; May D. Wang (BIBE, 2007)

Evolving Biological Behavior in Gene-Based Cellular Simulations. - John H. Phan; Richard A. Moffitt; Todd H. Stokes; May D. Wang (BIBE, 2007)

Computer Aided Histopathological Classification of Cancer Subtypes. - Sohaib Waheed; Richard A. Moffitt; Qaiser Chaudry; Andrew N. Young; May D. Wang (BIBE, 2007)

Matrix factorization techniques for analysis of imaging mass spectrometry data. - Peter W. Siy; Richard A. Moffitt; R. Mitchell Parry; Yanfeng Chen; Ying Liu; M. Cameron Sullards; Alfred H. Merrill; May D. Wang (BIBE, 2008)

Improving Microarray Sample Size Using Bootstrap Data Combination. - John H. Phan; Richard A. Moffitt; Andrea B. Barrett; May D. Wang (IMSCCS, 2008)

SecureMed-ID: memorable and private identifiers for off-site access to medical records. - Todd H. Stokes; Richard A. Moffitt; May D. Wang (BCB, 2011)

Automatic batch-invariant color segmentation of histological cancer images. - Sonal Kothari; John H. Phan; Richard A. Moffitt; Todd H. Stokes; Shelby E. Hassberger; Qaiser Chaudry; Andrew N. Young; May D. Wang (ISBI, 2011)

An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification. - S. Hussain Raza 001; R. Mitchell Parry; Richard A. Moffitt; Andrew N. Young; May D. Wang (MICCAI (3), 2011)

caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts. - Richard A. Moffitt; Qiqin Yin-Goen; Todd H. Stokes; R. Mitchell Parry; James H. Torrance; John H. Phan; Andrew N. Young; May D. Wang (BMC Bioinform., 2011)

Adaptive Control Model Reveals Systematic Feedback and Key Molecules in Metabolic Pathway Regulation. - Chang F. Quo; Richard A. Moffitt; Alfred H. Merrill Jr.; May D. Wang (J. Comput. Biol., 2011)

Feasibility of multiplex quantum dot stain using primary antibodies from four distinct host animals. - Jonathan K. Tran; Elena N. Hubbard; Todd H. Stokes; Richard A. Moffitt; May D. Wang (EMBC, 2012)

Disease phenotyping using deep learning: A diabetes case study. - Sina Rashidian; Janos G. Hajagos; Richard A. Moffitt; Fusheng Wang 001; Xinyu Dong; Kayley Abell-Hart; Kimberly Noel; Rajarsi R. Gupta; Mathew Tharakan; Veena Lingam; Joel H. Saltz; Mary M. Saltz (CoRR, 2018)

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. - Sina Rashidian; Fusheng Wang 001; Richard A. Moffitt; Victor Garcia; Anurag Dutt; Wei Chang; Vishwam Pandya; Janos G. Hajagos; Mary M. Saltz; Joel H. Saltz (AIME, 2020)

Harmonizing Units and Quantitative Values in a Nationally-Pooled Electronic Health Record Dataset. - Katie R. Bradwell; Richard A. Moffitt (AMIA, 2022)

Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. - Saarthak Kapse; Luke Torre-Healy; Richard A. Moffitt; Rajarsi Gupta 001; Prateek Prasanna (ISBI, 2022)

PLCOjs, a FAIR GWAS web SDK for the NCI Prostate, Lung, Colorectal and Ovarian Cancer Genetic Atlas project. - Eric Ruan; Erika Nemeth; Richard A. Moffitt; Lorena Sandoval; Mitchell J. Machiela; Neal D. Freedman; Wen-Yi Huang; Wendy Wong; Kai-Ling Chen; Brian Park; Kevin Jiang; Belynda Hicks; et al. (Bioinform., 2022)

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (CoRR, 2022)

Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. - Katie R. Bradwell; Jacob T. Wooldridge; Benjamin R. C. Amor; Tellen D. Bennett; Adit Anand; Carolyn Bremer; Yun Jae Yoo; Zhenglong Qian; Steven G. Johnson; Emily R. Pfaff; Andrew T. Girvin; Amin Manna; et al. (J. Am. Medical Informatics Assoc., 2022)

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. - Emily R. Pfaff; Andrew T. Girvin; Davera Gabriel; Kristin Kostka; Michele Morris; Matvey B. Palchuk; Harold P. Lehmann; Benjamin R. C. Amor; Mark Bissell; Katie R. Bradwell; Sigfried Gold; Stephanie S. Hong; et al. (J. Am. Medical Informatics Assoc., 2022)

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). - Jason A. Thomas; Randi E. Foraker; Noa Zamstein; Jon D. Morrow; Philip R. O. Payne; Adam B. Wilcox; Melissa A. Haendel; Christopher G. Chute; Kenneth R. Gersing; Anita Walden; Tellen D. Bennett; David A. Eichmann; et al. (J. Am. Medical Informatics Assoc., 2022)

Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs. - Peter Leese; Adit Anand; Andrew T. Girvin; Amin Manna; Saaya Patel; Yun Jae Yoo; Rachel Wong; Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; Janos G. Hajagos; Emily R. Pfaff; et al. (J. Am. Medical Informatics Assoc., 2023)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (J. Biomed. Informatics, 2023)

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. - Emily R. Pfaff; Andrew T. Girvin; Miles Crosskey; Srushti Gangireddy; Hiral Master; Wei-Qi Wei; Vern Eric Kerchberger; Mark G. Weiner; Paul A. Harris; Melissa A. Basford; Christopher Lunt; Christopher G. Chute; et al. (J. Am. Medical Informatics Assoc., 2023)

Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. - Shawn T. O'Neil; Charisse R. Madlock-Brown; Kenneth Wilkins; Brenda M. McGrath; Hannah E. Davis; Gina S. Assaf; Hannah Wei; Parya Zareie; Evan T. French; Johanna Loomba; Julie A. McMurry; Andrea Zhou; et al. (npj Digit. Medicine, 2024)

FaStaNMF: A Fast and Stable Non-Negative Matrix Factorization for Gene Expression. - Michael D. Sweeney; Luke Torre-Healy; Virginia L. Ma; Margaret Hall; Lucie Chrastecka; Alisa Yurovsky; Richard A. Moffitt (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Code for Publication: Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. - Emily Hadley; Yun Jae Yoo; Saaya Patel; Andrea Zhou; Bryan Laraway; Rachel Wong; Alexander Preiss; Hannah E. Davis; Daniel Brannock; Christopher G. Chute; Emily R. Pfaff; Johanna Loomba; et al. (Zenodo, 2024)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)