Network deconvolution as a general method to distinguish direct dependencies in networks
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - 2013 - dspace.mit.edu
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
[PDF][PDF] Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nat Biotechnol, 2013 - researchgate.net
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
[PDF][PDF] Network Deconvolution-A General Method to Distinguish Direct Dependencies over Networks
S Feizi, D Marbach, M Médard, M Kellis - Nat. Biotechnol, 2013 - liorpachter.wordpress.com
In this section, we describe the proposed network deconvolution (ND) algorithm and analyze
its general properties. First, we show how network deconvolution finds a globally optimal …
its general properties. First, we show how network deconvolution finds a globally optimal …
[PDF][PDF] Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nat Biotechnol, 2013 - core.ac.uk
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
[PDF][PDF] network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nature - compbio.mit.edu
Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard… - Nature …, 2013 - pubmed.ncbi.nlm.nih.gov
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nature Biotechnology, 2013 - nature.com
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
[HTML][HTML] Network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nature biotechnology, 2013 - ncbi.nlm.nih.gov
Recognizing direct relationships between variables connected in a network is a pervasive
problem in biological, social and information sciences as correlation-based networks …
problem in biological, social and information sciences as correlation-based networks …
[PDF][PDF] network deconvolution as a general method to distinguish direct dependencies in networks
S Feizi, D Marbach, M Médard, M Kellis - Nature - math.fsu.edu
RESULTS Resolving direct and indirect dependencies in a graph Mathematically, we model
the weights of an observed network Gobs, whose diagonal is set to zero, as the sum of both …
the weights of an observed network Gobs, whose diagonal is set to zero, as the sum of both …