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Sivaraman Balakrishnan et al.
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Enzo Marinari et al.
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Marc Mezard et al.
JOURNAL OF PHYSIOLOGY-PARIS (2009)
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Martin Weigt et al.
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High-resolution protein complexes from integrating genomic information with molecular simulation
Alexander Schug et al.
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Statistical physics of pairwise probability models
Yasser Roudi et al.
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A. Braunstein et al.
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Mutual information without the influence of phylogeny or entropy dramatically improves residue contact prediction
S. D. Dunn et al.
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Weak pairwise correlations imply strongly correlated network states in a neural population
E Schneidman et al.
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A Braunstein et al.
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AA Fodor et al.
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Training products of experts by minimizing contrastive divergence
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