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ORCIDDaniel M. Rotroff
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2020 – today
- 2024
[j7]Hamed Javidi, Arshiya Mariam, Lina Alkhaled, Kevin M. Pantalone, Daniel M. Rotroff
:
An interpretable predictive deep learning platform for pediatric metabolic diseases. J. Am. Medical Informatics Assoc. 31(6): 1227-1238 (2024)- 2022
- [j6]Hamed Javidi, Arshiya Mariam, Gholamreza Khademi, Emily C. Zabor, Ran Zhao, Tomas Radivoyevitch, Daniel M. Rotroff:
Identification of robust deep neural network models of longitudinal clinical measurements. npj Digit. Medicine 5 (2022)
2010 – 2019
- 2019
- [j5]Jeremy R. Ash, Mélaine A. Kuenemann, Daniel M. Rotroff, Alison A. Motsinger-Reif, Denis Fourches:
Cheminformatics approach to exploring and modeling trait-associated metabolite profiles. J. Cheminformatics 11(1): 43:1-43:15 (2019) - [j4]Rachel Marceau West, Wenbin Lu, Daniel M. Rotroff, Mélaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches, Jung-Ying Tzeng:
Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Comput. Biol. 15(2) (2019) - 2018
- [j3]Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif:
Gene set analysis methods: a systematic comparison. BioData Min. 11(1): 8:1-8:19 (2018) - 2014
- [j2]Daniel M. Rotroff, John R. Jack, Nathan Campbell, Scott Clark, Alison A. Motsinger-Reif:
PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles. BioData Min. 7: 24 (2014) - 2013
- [j1]Qingda Zang, Daniel M. Rotroff, Richard S. Judson:
Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure-Activity Relationship and Machine Learning Methods. J. Chem. Inf. Model. 53(12): 3244-3261 (2013)
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