Paul E. Anderson

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 12

Top Topics

Alternative Splicing

Top Venues

SIAM J. Math. Data Sci.

BMC Medical Informatics Decis. Mak.

Publications

Paul E. Anderson, Brandon Tat, Charlie Ward, Amy Nicole Langville, Kathryn E. Pedings-Behling
Developing a Ranking Problem Library (RPLIB) from a data-oriented perspective. CoRR (2022)
Paul E. Anderson, Richa Gadgil, William A. Johnson, Ella Schwab, Jean M. Davidson
Reducing variability of breast cancer subtype predictors by grounding deep learning models in prior knowledge. Comput. Biol. Medicine 138 (2021)
Paul E. Anderson, Timothy P. Chartier, Amy Nicole Langville
Erratum: The Rankability of Data. SIAM J. Math. Data Sci. 1 (3) (2019)
Paul E. Anderson, Timothy P. Chartier, Amy Nicole Langville
The Rankability of Data. SIAM J. Math. Data Sci. 1 (1) (2019)
Tyler Newman, Paul E. Anderson
Alignment-Based Topic Extraction Using Word Embedding. IAL@PKDD/ECML (2018)
Clayton A. Turner, Alexander D. Jacobs, Cassios K. Marques, James C. Oates, Diane L. Kamen, Paul E. Anderson, Jihad S. Obeid
Word2Vec inversion and traditional text classifiers for phenotyping lupus. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Benjamin A. Neely, Paul E. Anderson
Complementary Domain Prioritization: A Method to Improve Biologically Relevant Detection in Multi-Omic Data Sets. BIOINFORMATICS (2017)
Katherine Duchinski, Margaret L. Antonio, Dennis K. Watson, Paul E. Anderson
DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies - A Case Study of Knockdown and Upregulated FLI1 in Breast Cancer Cells. BIOINFORMATICS (2017)
Charles J. Labuzzetta, Margaret L. Antonio, Patricia M. Watson, Robert C. Wilson, Lauren A. Laboissonniere, Jeffrey M. Trimarchi, Baris Genc, P. Hande Ozdinler, Dennis K. Watson, Paul E. Anderson
Complementary feature selection from alternative splicing events and gene expression for phenotype prediction. Bioinform. 32 (17) (2016)
Sonia Kopel, Kellan A. Fluette, Geena Glen, Paul E. Anderson
Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations. MOD (2016)
Paul E. Anderson, Thomas Nash, Renée A. McCauley
Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine. ITiCSE (2015)
David E. Moore, Kellan A. Fluette, Heather J. Milne, Andrew M. Shedlock, Paul E. Anderson
ccKOPLS: Confounder-correcting kernel-based orthogonal projections to latent structures. BIBM (2015)
Paul E. Anderson, Victoria A. McCaffrey, E. Starr Hazard, Patricia M. Watson, Matt R. Paul, Robert C. Wilson, Chadrick E. Denlinger, Dennis K. Watson
Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data. CIBCB (2014)
Paul E. Anderson, Clayton Turner, Jacob Dierksheide, Renée McCauley
An extensible online environment for teaching data science concepts through gamification. FIE (2014)
Paul E. Anderson, James F. Bowring, Renée McCauley, George J. Pothering, Christopher W. Starr
An undergraduate degree in data science: curriculum and a decade of implementation experience. SIGCSE (2014)
Edward Pharr, Aspen Olmsted, Paul E. Anderson
gLIMS: Google cloud-based laboratory information management system for NMR metabolomics. BCB (2012)
Paul E. Anderson, Michael Peterson
Empirical metabolite identification via GA feature selection and Bayes classification. BCB (2012)
Jeremy C. Morgan, Robert W. Chapman, Paul E. Anderson
A next generation sequence processing and analysis platform with integrated cloud-storage and high performance computing resources. BCB (2012)
Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom
H NMR spectroscopic data and the generation of synthetic validation sets. Bioinform. 25 (22) (2009)
Benjamin J. Kelly, Paul E. Anderson, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom, Michael L. Raymer
A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy. BIBE (2007)
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sweeney, Travis E. Doom, Michael L. Raymer
Stochastic Model of Protease-Ligand Reactions. BIBE (2005)