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a n a ly s i s Network deconvolution as a general method to distinguish direct dependencies in networks © 2013 Nature America, Inc. All rights reserved.
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Document Date: 2014-05-26 06:19:49


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Dunn / Valencia / R. Network / Cambridge / /

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Lapedes A.S. / X. Networks / Cambridge Univ Press / Artificial Intelligence Laboratory / Facebook / J.M. & Lapedes A.S. / Pearson / 3Research Laboratory / Nature America Inc. / Coleman / /

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3Research Laboratory of Electronics / Massachusetts Institute of Technology / Institute of MIT / /

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Harvard / Massachusetts Institute of Technology / 2Broad Institute / Swiss National Science Foundation / /

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Baliga / Muriel Médard / Nat / Vert / Daniel Marbach / Morgan Kaufmann / Soheil Feizi / Reiss / /

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Taylor series closed-form solution / Taylor / /

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Physica A / PLoS ONE / /

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genomics / Bioinformatics / proposed network deconvolution algorithm / biotechnology / Machine Learning / message-passing algorithms / network deconvolution algorithm / resulting network deconvolution algorithm / DNA Chip / gene expression / data mining / ARACNE algorithm / /

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