Most existing approaches for network reconstruction can only infer an overall network and, also, fail to capture a complete set of network properties. To address these issues, a new model has been developed, which converts static data into their 'dynamic' form. 'idopNetwork' is an 'R' interface to this model, it can inferring informative, dynamic, omnidirectional and personalized networks. For more information on functional clustering part, see Kim et al. (2008) <doi:10.1534/genetics.108.093690>, Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model, see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022) <doi:10.1080/19490976.2022.2106103>.
Version: 0.1.2 Depends: R (≥ 3.50) Imports: grDevices, stats, mvtnorm, orthopolynom, parallel, deSolve, ggplot2, reshape2, glmnet, igraph, scales, patchwork Suggests: covr, knitr, rmarkdown Published: 2023-04-18 DOI: 10.32614/CRAN.package.idopNetwork Author: Ang Dong Maintainer: Ang Dong <fantasys05227 at gmail.com> BugReports: https://github.com/cxzdsa2332/idopNetwork/issues License: GPL (≥ 3) URL: https://github.com/cxzdsa2332/idopNetwork NeedsCompilation: no Materials: README In views: NetworkAnalysis CRAN checks: idopNetwork results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=idopNetwork to link to this page.
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