Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models
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Abstract
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DOI: 10.1371/journal.pcbi.1004182
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References listed on IDEAS
- Elad Schneidman & Michael J. Berry & Ronen Segev & William Bialek, 2006. "Weak pairwise correlations imply strongly correlated network states in a neural population," Nature, Nature, vol. 440(7087), pages 1007-1012, April.
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- Md Tauhidul Islam & Lei Xing, 2023. "Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
- Rajita Menon & Vivek Ramanan & Kirill S Korolev, 2018. "Interactions between species introduce spurious associations in microbiome studies," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-20, January.
- Andrew F Neuwald & Stephen F Altschul, 2016. "Inference of Functionally-Relevant N-acetyltransferase Residues Based on Statistical Correlations," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-30, December.
- Erik Aurell, 2016. "The Maximum Entropy Fallacy Redux?," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-7, May.
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