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Journal Articles
- 2014
[j5]Noah Youngs, Duncan Penfold-Brown, Richard Bonneau, Dennis E. Shasha:
Negative Example Selection for Protein Function Prediction: The NoGO Database. PLoS Comput. Biol. 10(6) (2014)- 2013
- [j4]Noah Youngs, Duncan Penfold-Brown, Kevin Drew
, Dennis E. Shasha, Richard Bonneau:
Parametric Bayesian priors and better choice of negative examples improve protein function prediction. Bioinform. 29(9): 1190-1198 (2013) - 2008
- [j3]Duncan P. Brown:
Efficient functional clustering of protein sequences using the Dirichlet process. Bioinform. 24(16): 1765-1771 (2008) - 2007
- [j2]Duncan P. Brown, Nandini Krishnamurthy, Kimmen Sjölander:
Automated Protein Subfamily Identification and Classification. PLoS Comput. Biol. 3(8) (2007) - 2006
- [j1]Duncan P. Brown, Kimmen Sjölander:
Functional Classification Using Phylogenomic Inference. PLoS Comput. Biol. 2(6) (2006)
Conference and Workshop Papers
- 2016
- [c2]Yin Aphinyanaphongs, Armine Lulejian, Duncan Penfold-Brown, Richard Bonneau, Paul Krebs:
Text Classification for Automatic Detection of E-Cigarette Use and Use for Smoking Cessation from Twitter: A Feasibility Pilot. PSB 2016: 480-491 - 2005
- [c1]Duncan P. Brown, Nandini Krishnamurthy, Joseph M. Dale, Wayne Christopher, Kimmen Sjölander:
Subfamily HMMS in Functional Genomics. Pacific Symposium on Biocomputing 2005
Parts in Books or Collections
- 2016
- [p1]Joshua A. Tucker, Jonathan Nagler, Megan Macduffee Metzger, Pablo Barberá, Duncan Penfold-Brown, Richard Bonneau:
Big Data, Social Media, and Protest: Foundations for a Research Agenda. Computational Social Science 2016: 199-224
Coauthor Index
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