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Cytos Inc molecular complex detection (mcode
Molecular Complex Detection (Mcode, supplied by Cytos Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/molecular+complex+detection+(mcode/molecular+complex+detection++mcode++plug+in/pm37816883-185-10-5
Average 90 stars, based on 1 article reviews
molecular complex detection (mcode - by Bioz Stars, 2026-10
90/100 stars

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Software:

Article Title: Integrated single-cell and spatial transcriptomics reveals heterogeneity of fibroblast and pivotal genes in psoriasis.
Article Snippet: Subsequently, Cytoscape software 3.6.1 (https:// cytos cape. org) and built-in app Molecular Complex Detection (MCODE) were used to identify core modules in these proteins and cytoHubba was used to calculate hub genes based on the overlapping results as obtained with MCC (Maximal Clique Centrality) topological analysis methods.

Article Title: Identification of gene signatures and potential therapeutic targets for acquired chemotherapy resistance in gastric cancer patients
Article Snippet: Furthermore, module analysis of the PPI network was conducted using the molecular complex detection (MCODE) plug-in (http://apps.cytos cape.org/apps/mcode/).

Article Title: Identifying individualized prognostic signature and unraveling the molecular mechanism of recurrence in early-onset colorectal cancer.
Article Snippet: The Cytoscape software (https:// cytos cape. org/) was used to visualize the network, and MCODE (Molecular complex detection) plugin was applied to cluster the PPI network based on topology and find densely connected regions.

Protein-Protein interactions:

Article Title: Integrated single-cell and spatial transcriptomics reveals heterogeneity of fibroblast and pivotal genes in psoriasis.
Article Snippet: Subsequently, Cytoscape software 3.6.1 (https:// cytos cape. org) and built-in app Molecular Complex Detection (MCODE) were used to identify core modules in these proteins and cytoHubba was used to calculate hub genes based on the overlapping results as obtained with MCC (Maximal Clique Centrality) topological analysis methods.

Article Title: Identification of gene signatures and potential therapeutic targets for acquired chemotherapy resistance in gastric cancer patients
Article Snippet: Furthermore, module analysis of the PPI network was conducted using the molecular complex detection (MCODE) plug-in (http://apps.cytos cape.org/apps/mcode/).

Article Title: Identifying individualized prognostic signature and unraveling the molecular mechanism of recurrence in early-onset colorectal cancer.
Article Snippet: The Cytoscape software (https:// cytos cape. org/) was used to visualize the network, and MCODE (Molecular complex detection) plugin was applied to cluster the PPI network based on topology and find densely connected regions.



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