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Papers: 10.1186/1752-0509-7-12

https://doi.org/10.1186/1752-0509-7-12

Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework

Cited by: 12
Author(s): Gaurav Kumar, Edmond J. Breen, Shoba Ranganathan
Published: over 13 years ago

Software Mentions 5

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: RankProd
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Papers that mentioned: 213
Very Likely Science (100)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
pypi: BioGraph
Molecular graphs and the neural networks to embed them.
Papers that mentioned: 26
Very Likely Science (90)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)