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Papers: 10.1371/journal.pcbi.1008979

https://doi.org/10.1371/journal.pcbi.1008979

netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis

Cited by: 4
Author(s): Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie
Published: about 5 years ago

Software Mentions 12

bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry data
Papers that mentioned: 429
Very Likely Science (75)
bioconductor: DEGraph
Two-sample tests on a graph
Papers that mentioned: 15
Very Likely Science (90)
bioconductor: graphite
GRAPH Interaction from pathway Topological Environment
Papers that mentioned: 30
Very Likely Science (100)
bioconductor: PathNet
An R package for pathway analysis using topological information
Papers that mentioned: 13
Very Likely Science (100)
bioconductor: SPIA
Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations
Papers that mentioned: 155
Very Likely Science (100)
cran: CePa
Centrality-Based Pathway Enrichment
Papers that mentioned: 22
Very Likely Science (87)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: netgsa
Network-Based Gene Set Analysis
Papers that mentioned: 1
Very Likely Science (100)
cran: RcppEigen
'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Papers that mentioned: 12
Very Likely Science (100)
cran: topologyGSA
Gene Set Analysis Exploiting Pathway Topology
Papers that mentioned: 4
Very Likely Science (85)
pypi: graphite
Papers that mentioned: 30
Very Likely Science (65)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)