# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "fasjem" in publications use:' type: software license: GPL-2.0-only title: 'fasjem: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models' version: 1.1.2 doi: 10.32614/CRAN.package.fasjem abstract: This is an R implementation of "A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models" (FASJEM). The FASJEM algorithm can be used to estimate multiple related precision matrices. For instance, it can identify context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogonous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(fasjem) to learn the basic functions provided by this package. For more details, please see . authors: - family-names: Wang given-names: Beilun email: bw4mw@virginia.edu - family-names: Qi given-names: Yanjun email: yanjun@virginia.edu repository: https://cranhaven.r-universe.dev repository-code: https://github.com/QData/JEM commit: 14f2721e6e82d85853b3dbae345e1b3a2c3d922e url: https://github.com/QData/JEM date-released: '2017-07-31' contact: - family-names: Wang given-names: Beilun email: bw4mw@virginia.edu