Jan 13, 2003 · This paper describes a novel graph theoretic clustering algorithm, "Molecular Complex Detection" (MCODE), that detects densely connected regions in large protein-protein …

一般做完差异基因，或者使用其他方法找到想要的biomarker时，想要知道这些基因的调控网络，或者哪些基因在调控网络中处于核心位置，比较常见的方法就是wgcna或者 mcode 、 …

MCODE is a relatively fast method of clustering. With an intuitive interface, it is suited for both computationally and biologically oriented researchers. Current features include: Fast network …

Clusters a given network based on topology to find densely connected regions. MCODE finds clusters (highly interconnected regions) in a network. Clusters mean different things in different …

Nov 2, 2020 · MCODE is a Cytoscape plugin that finds clusters (highly interconnected regions) in a network. Clusters mean different things in different types of networks. For instance, clusters …

MCODE algorithm. Developed to find protein complexes in PPI networks ; Can be considered to be more stringent than the Newman-Girvan algorithm, since it aims to find only those sub …

May 20, 2013 · In this paper, we propose a novel graph mining algorithm (PEWCC) to identify such protein complexes. Firstly, the algorithm assesses the reliability of the interaction data, …

Dec 17, 2012 · The Molecular Complex Detection (MCODE) algorithm has been developed for identifying densely connected sections of a PPI networks. It weighs proteins by the density of …

Dec 27, 2013 · MCODE algorithm proposed by Bader et al. is one of the first computational methods to detect protein complexes based on the proteins’ connectivity values in the PPI …

Jan 13, 2003 · Results: This paper describes a novel graph theoretic clustering algorithm, "Molecular Complex Detection" (MCODE), that detects densely connected regions in large …