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Duncan Penfold-Brown

Duncan P. Brown

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Journal Articles

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2014
[j5]
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  - journals/ploscb/YoungsPBS14
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  - https://dblp.org/rec/journals/ploscb/YoungsPBS14
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]
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  - journals/bioinformatics/YoungsPDSB13
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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]
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  - journals/bioinformatics/Brown08
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Duncan P. Brown:
Efficient functional clustering of protein sequences using the Dirichlet process. Bioinform. 24(16): 1765-1771 (2008)
2007
[j2]
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  - journals/ploscb/BrownKS07
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Duncan P. Brown, Nandini Krishnamurthy, Kimmen Sjölander:
Automated Protein Subfamily Identification and Classification. PLoS Comput. Biol. 3(8) (2007)
2006
[j1]
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Duncan P. Brown, Kimmen Sjölander:
Functional Classification Using Phylogenomic Inference. PLoS Comput. Biol. 2(6) (2006)

Conference and Workshop Papers

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2016
[c2]
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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]
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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

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2016
[p1]
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  - books/cu/p/TuckerNMBPB16
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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

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