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The Maximum Entropy Fallacy Redux?

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  • Erik Aurell

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  • Erik Aurell, 2016. "The Maximum Entropy Fallacy Redux?," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-7, May.
    • Handle: RePEc:plo:pcbi00:1004777
    DOI: 10.1371/journal.pcbi.1004777
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    References listed on IDEAS

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    1. Erik van Nimwegen, 2016. "Inferring Contacting Residues within and between Proteins: What Do the Probabilities Mean?," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-10, May.
    2. Christoph Feinauer & Marcin J Skwark & Andrea Pagnani & Erik Aurell, 2014. "Improving Contact Prediction along Three Dimensions," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-13, October.
    3. Marcin J Skwark & Daniele Raimondi & Mirco Michel & Arne Elofsson, 2014. "Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns," PLOS Computational Biology, Public Library of Science, vol. 10(11), pages 1-14, November.
    4. Richard R Stein & Debora S Marks & Chris Sander, 2015. "Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-22, July.
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    Cited by:

    1. Pedro L Teixeira & Jeff L Mendenhall & Sten Heinze & Brian Weiner & Marcin J Skwark & Jens Meiler, 2017. "Membrane protein contact and structure prediction using co-evolution in conjunction with machine learning," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-24, May.
    2. Erik van Nimwegen, 2016. "Inferring Contacting Residues within and between Proteins: What Do the Probabilities Mean?," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-10, May.

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