scholarly article | Q13442814 |
P50 | author | Rodrigo Aldecoa | Q37379870 |
P2093 | author name string | Ignacio Marín | |
P2860 | cites work | Finding local community structure in networks | Q51963266 |
An automated method for finding molecular complexes in large protein interaction networks | Q21284295 | ||
Finding and evaluating community structure in networks | Q21563748 | ||
Network-based prediction of protein function | Q24670295 | ||
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Integration of biological networks and gene expression data using Cytoscape | Q28681323 | ||
Iterative cluster analysis of protein interaction data | Q30960315 | ||
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Gene network interconnectedness and the generalized topological overlap measure | Q33270231 | ||
A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification | Q33305688 | ||
Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell | Q33482481 | ||
Modular organization of cellular networks | Q34329388 | ||
Graph-based methods for analysing networks in cell biology | Q36552759 | ||
The interactome as a tree--an attempt to visualize the protein-protein interaction network in yeast | Q37537608 | ||
Up-to-date catalogues of yeast protein complexes | Q42029545 | ||
Functional topology in a network of protein interactions | Q47207928 | ||
Comparative genomics and protein domain graph analyses link ubiquitination and RNA metabolism. | Q47227582 | ||
Detection of functional modules from protein interaction networks. | Q47285412 | ||
Protein complex prediction via cost-based clustering | Q47387430 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | Cytoscape | Q3699942 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | complex network | Q665189 |
hierarchical clustering | Q1277447 | ||
P304 | page(s) | e11585 | |
P577 | publication date | 2010-07-14 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Jerarca: efficient analysis of complex networks using hierarchical clustering | |
P478 | volume | 5 |
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Q41660913 | Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations |
Q42716637 | Surprise maximization reveals the community structure of complex networks |
Q35074256 | SurpriseMe: an integrated tool for network community structure characterization using Surprise maximization. |
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