A pure data-driven gene network, weighted gene co-expression network (WGCN) could be constructed only from expression profile. Different layers in such networks may represent different time points, multiple conditions or various species. AMOUNTAIN aims to search active modules in multi-layer WGCN using a continuous optimization approach.
|Author||Dong Li, Shan He, Zhisong Pan and Guyu Hu|
|Bioconductor views||DifferentialExpression GeneExpression Microarray Network|
|Date of publication||None|
|Maintainer||Dong Li <firstname.lastname@example.org>|
|License||GPL (>= 2)|
EuclideanProjectionENNORM: Euclidean projection on elastic net
moduleIdentificationGPFixSS: Module Identification
moduleIdentificationGPFixSSMultilayer: Module Identification for multi-layer network
moduleIdentificationGPFixSSTwolayer: Module Identification for two-layer network
networkSimulation: Illustration of weighted network simulation
twolayernetworkSimulation: Illustration of two-layer weighted network simulation
vecconsensus: Vector consensus
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