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Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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limma: Linear Models for Microarray Data
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Reducibility among Combinatorial Problems
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An interior Newton method for quadratic programming
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Differentiation and function of Th17 T cells
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Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection
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Gene networks: how to put the function in genomics
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Convex Optimization
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Toxicogenomic Responses of Nanotoxicity in Daphnia magna Exposed to Silver Nitrate and Coated Silver Nanoparticles
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Gene Ontology: tool for the unification of biology
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Dynamic regulatory network controlling TH17 cell differentiation
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Network medicine: a network-based approach to human disease
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Integrative approaches for finding modular structure in biological networks
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Pattern formation in multiplex networks
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Functional Analysis and Characterization of Differential Coexpression Networks
inferredcites →https://doi.org/10.1073/pnas.1006642108openalex-snapshot
Community extraction for social networks
inferredcites →https://doi.org/10.1073/pnas.122653799openalex-snapshot
Community structure in social and biological networks
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Discovering regulatory and signalling circuits in molecular interaction networks
inferredcites →https://doi.org/10.1093/bioinformatics/bti069openalex-snapshot
Inferring pathways from gene lists using a literature-derived network of biological relationships
inferredcites →https://doi.org/10.1093/bioinformatics/btm294openalex-snapshot
Edge-based scoring and searching method for identifying condition-responsive protein–protein interaction sub-network
inferredcites →https://doi.org/10.1093/bioinformatics/btn161openalex-snapshot
Identifying functional modules in protein–protein interaction networks: an integrated exact approach
inferredcites →https://doi.org/10.1093/bioinformatics/btp118openalex-snapshot
Identifying functional modules using expression profiles and confidence-scored protein interactions
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COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method
inferredcites →https://doi.org/10.1093/bioinformatics/btv316openalex-snapshot
xHeinz: an algorithm for mining cross-species network modules under a flexible conservation model
inferredcites →https://doi.org/10.1093/comnet/cnu016openalex-snapshot
Multilayer networks
inferredcites →https://doi.org/10.1093/comnet/cnu038openalex-snapshot
MuxViz: a tool for multilayer analysis and visualization of networks
inferredcites →https://doi.org/10.1093/nar/30.1.207openalex-snapshot
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
inferredcites →https://doi.org/10.1093/nar/gkn145openalex-snapshot
Uncovering signal transduction networks from high-throughput data by integer linear programming
inferredcites →https://doi.org/10.1093/nar/gkr1227openalex-snapshot
An integer linear programming approach for finding deregulated subgraphs in regulatory networks
inferredcites →https://doi.org/10.1093/nar/gku1224openalex-snapshot
ModuleBlast: identifying activated sub-networks within and across species
inferredcites →https://doi.org/10.1101/gad.1034302openalex-snapshot
Conserved homeodomain proteins interact with MADS box protein Mcm1 to restrict ECB-dependent transcription to the M/G1 phase of the cell cycle
inferredcites →https://doi.org/10.1109/tit.2006.871582openalex-snapshot
Compressed sensing
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot
Regularization and Variable Selection Via the Elastic Net
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1126/science.1087447openalex-snapshot
A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules
inferredcites →https://doi.org/10.1126/science.1184819openalex-snapshot
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
inferredcites →https://doi.org/10.1162/neco.2007.19.10.2756openalex-snapshot
Projected Gradient Methods for Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1182/blood-2012-01-407528openalex-snapshot
Identification of early gene expression changes during human Th17 cell differentiation
inferredcites →https://doi.org/10.1186/1471-2105-11-26openalex-snapshot
Detecting disease associated modules and prioritizing active genes based on high throughput data
inferredcites →https://doi.org/10.1186/1471-2105-14-128openalex-snapshot
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
inferredcites →https://doi.org/10.1186/1471-2105-9-559openalex-snapshot
WGCNA: an R package for weighted correlation network analysis
inferredcites →https://doi.org/10.1186/1752-0509-1-8openalex-snapshot
Identification of functional modules using network topology and high-throughput data
inferredcites →https://doi.org/10.1371/journal.pcbi.1001028openalex-snapshot
A Scalable Approach for Discovering Conserved Active Subnetworks across Species
inferredcites →https://doi.org/10.1371/journal.pcbi.1001106openalex-snapshot
Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation
inferredcites →https://doi.org/10.1371/journal.pone.0086693openalex-snapshot
DiME: A Scalable Disease Module Identification Algorithm with Application to Glioma Progression
inferredcites →https://doi.org/10.18637/jss.v048.i04openalex-snapshot
qgraph : Network Visualizations of Relationships in Psychometric Data
inferredcites →https://doi.org/10.2202/1544-6115.1128openalex-snapshot
A General Framework for Weighted Gene Co-Expression Network Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1101/265553openalex-snapshot
Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases
inferred← citeshttps://doi.org/10.70675/5379aa9cz8f24z45c6z8d81z2e0796525163openalex-snapshot
Approaches to explore multiplex biological networks and application to study premature aging diseases
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