Robert P. Sheridan
Merck & Co., Inc., Rahway, NJ, USA (United States)(US)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Analytical Chemistry and Chromatography, Cancer Genomics and Diagnostics
Most-Cited Works
- → A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing(2007)3,656 cited
- → Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling(2003)3,519 cited
- → A novel class of small RNAs bind to MILI protein in mouse testes(2006)1,522 cited
- → Protein 3D Structure Computed from Evolutionary Sequence Variation(2011)1,212 cited
- → Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships(2015)1,171 cited
- → Genomic and Functional Approaches to Understanding Cancer Aneuploidy(2018)1,166 cited