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Identifying communities from multiplex biological networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Genotype‐phenotype correlation of Coffin‐Siris syndrome caused by mutations in SMARCB1, SMARCA4, SMARCE1, and ARID1A
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Clinical features, diagnostic criteria, and management of Coffin–Siris syndrome
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On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification
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Stochastic blockmodels: First steps
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A Proteome-Scale Map of the Human Interactome Network
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The BioPlex Network: A Systematic Exploration of the Human Interactome
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A Chaperome Subnetwork Safeguards Proteostasis in Aging and Neurodegenerative Disease
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Emerging roles of MCPH1: Expedition from primary microcephaly to cancer
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Systematic Identification of Molecular Links between Core and Candidate Genes in Breast Cancer
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From molecular to modular cell biology
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Gene Ontology: tool for the unification of biology
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Smaller and larger deletions of the Williams Beuren syndrome region implicate genes involved in mild facial phenotype, epilepsy and autistic traits
inferredcites →https://doi.org/10.1038/nature07668openalex-snapshot
WSTF regulates the H2A.X DNA damage response via a novel tyrosine kinase activity
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Link communities reveal multiscale complexity in networks
inferredcites →https://doi.org/10.1038/nature14877openalex-snapshot
Panorama of ancient metazoan macromolecular complexes
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Modeling cellular machinery through biological network comparison
inferredcites →https://doi.org/10.1038/ncomms8412openalex-snapshot
Extreme multifunctional proteins identified from a human protein interaction network
inferredcites →https://doi.org/10.1038/ng.1091openalex-snapshot
De novo mutations in the actin genes ACTB and ACTG1 cause Baraitser-Winter syndrome
inferredcites →https://doi.org/10.1038/ng.2219openalex-snapshot
Mutations affecting components of the SWI/SNF complex cause Coffin-Siris syndrome
inferredcites →https://doi.org/10.1038/nmeth.1280openalex-snapshot
An empirical framework for binary interactome mapping
inferredcites →https://doi.org/10.1038/nmeth.1281openalex-snapshot
An experimentally derived confidence score for binary protein-protein interactions
inferredcites →https://doi.org/10.1038/nmeth.2212openalex-snapshot
A travel guide to Cytoscape plugins
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Consensus clustering in complex networks
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Critical limitations of consensus clustering in class discovery
inferredcites →https://doi.org/10.1038/srep10345openalex-snapshot
Detection of Composite Communities in Multiplex Biological Networks
inferredcites →https://doi.org/10.1073/pnas.0605965104openalex-snapshot
Resolution limit in community detection
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The Functional Landscape of Hsp27 Reveals New Cellular Processes such as DNA Repair and Alternative Splicing and Proposes Novel Anticancer Targets
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Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1093/bib/bbl022openalex-snapshot
Graph-based methods for analysing networks in cell biology
inferredcites →https://doi.org/10.1093/bioinformatics/btu034openalex-snapshot
Algorithms and tools for protein–protein interaction networks clustering, with a special focus on population-based stochastic methods
inferredcites →https://doi.org/10.1093/nar/gkm882openalex-snapshot
KEGG for linking genomes to life and the environment
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PID: The Pathway Interaction Database
inferredcites →https://doi.org/10.1093/nar/gkp914openalex-snapshot
CORUM: the comprehensive resource of mammalian protein complexes—2009
inferredcites →https://doi.org/10.1093/nar/gkq1167openalex-snapshot
SPIKE: a database of highly curated human signaling pathways
inferredcites →https://doi.org/10.1093/nar/gkt1102openalex-snapshot
The Reactome pathway knowledgebase
inferredcites →https://doi.org/10.1093/nar/gkt392openalex-snapshot
A new reference implementation of the PSICQUIC web service
inferredcites →https://doi.org/10.1093/nar/gku935openalex-snapshot
The Comparative Toxicogenomics Database's 10th year anniversary: update 2015
inferredcites →https://doi.org/10.1093/nar/gkv1351openalex-snapshot
The Reactome pathway Knowledgebase
inferredcites →https://doi.org/10.1103/physreve.69.026113openalex-snapshot
Finding and evaluating community structure in networks
inferredcites →https://doi.org/10.1103/physreve.70.056131openalex-snapshot
Analysis of weighted networks
inferredcites →https://doi.org/10.1103/physreve.74.016110openalex-snapshot
Statistical mechanics of community detection
inferredcites →https://doi.org/10.1103/physreve.89.032804openalex-snapshot
Structural measures for multiplex networks
inferredcites →https://doi.org/10.1109/tkde.2010.272openalex-snapshot
A Variational Bayesian Framework for Clustering with Multiple Graphs
inferredcites →https://doi.org/10.1126/science.1184819openalex-snapshot
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
inferredcites →https://doi.org/10.1126/science.1257601openalex-snapshot
Uncovering disease-disease relationships through the incomplete interactome
inferredcites →https://doi.org/10.1186/1471-2105-7-488openalex-snapshot
Evaluation of clustering algorithms for protein-protein interaction networks
inferredcites →https://doi.org/10.1186/1471-2164-11-s3-s10openalex-snapshot
Recent advances in clustering methods for protein interaction networks
inferredcites →https://doi.org/10.1609/aaai.v27i1.8455openalex-snapshot
Fast Algorithm for Modularity-Based Graph Clustering
inferredcites →https://doi.org/10.2307/2342720openalex-snapshot
Statistical Methods for Research Workers.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Consensus-based methodology for detection communities in multilayered networks
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Attributed multiplex graph clustering: A heuristic clustering-aware network embedding approach
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Adaptive layer weighting with inter-layer influence for multiplex network community detection
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inferred← citeshttps://doi.org/10.1038/s41540-019-0092-5openalex-snapshot
The multiplex network of human diseases
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An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease
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Assessment of network module identification across complex diseases
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Identification of Key Components in Colon Adenocarcinoma Using Transcriptome to Interactome Multilayer Framework
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Comparing protein–protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features
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scPCOR-seq enables co-profiling of chromatin occupancy and RNAs in single cells
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Universal multilayer network exploration by random walk with restart
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A new strategy for exploring the hierarchical structure of cancers by adaptively partitioning functional modules from gene expression network
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Multi-omics data integration for topology-based pathway activation assessment and personalized drug ranking
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scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data
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Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS
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Random walk with restart on multiplex and heterogeneous biological networks
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RWRtoolkit: multi-omic network analysis using random walks on multiplex networks in any species
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ImmunAL: a frame to identify the immunological markers for Mild Moderated Alzheimer’s Disease applying Multiplex Network Model
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Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases
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DNA Methylation Network Estimation with Sparse Latent Gaussian Graphical Model
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NECo: A node embedding algorithm for multiplex heterogeneous networks
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Multiplex Graph Clustering with Network Embedding Technique: Review, Methods and Challenges
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Modularities maximization in multiplex network analysis using Many-Objective Optimization
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PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks
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Multi-Graph Contrastive Learning for Community Detection in Multi-Layer Networks
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Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization
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Multilayer Flows in Molecular Networks Identify Biological Modules in the Human Proteome
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Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization
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Non-Negative Matrix Factorizations for Multiplex Network Analysis
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