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Papers: 10.1371/journal.pcbi.1006369

https://doi.org/10.1371/journal.pcbi.1006369

SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks

Cited by: 35
Author(s): Rong Zhang, Zhao Ren, Wei Chen
Published: almost 7 years ago

Software Mentions 10

cran: flare
Family of Lasso Regression
Papers that mentioned: 1
Very Likely Science (85)
cran: glasso
Graphical Lasso: Estimation of Gaussian Graphical Models
Papers that mentioned: 39
Very Likely Science (83)
cran: huge
High-Dimensional Undirected Graph Estimation
Papers that mentioned: 8
Very Likely Science (75)
cran: lars
Least Angle Regression, Lasso and Forward Stagewise
Papers that mentioned: 29
Very Likely Science (93)
cran: Rcpp
Seamless R and C++ Integration
Papers that mentioned: 152
Very Likely Science (100)
cran: scalreg
Scaled Sparse Linear Regression
Papers that mentioned: 1
Very Likely Science (93)
cran: SILGGM
Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks
Papers that mentioned: 2
Very Likely Science (93)
pypi: flare
Data Science Project Builder.
Papers that mentioned: 1
Very Likely Science (75)
pypi: huge
Find huge additions in Git history.
Papers that mentioned: 8
Very Likely Science (85)
pypi: lars
A framework for converting web-logs into various formats
Papers that mentioned: 29
Very Likely Science (65)