66 citations · 116 across the 4 of their papers we have counts for
4 papers
A General Framework for Mixed Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +3
"Mixed Data" comprising a large number of heterogeneous variables (e.g. count, binary, continuous, skewed continuous, among other data types) are prevalent in varied areas such as…
On the Reproducibility of TCGA Ovarian Cancer MicroRNA Profiles
Ying-Wooi Wan, Claire M. Mach, Genevera Allen +2
Dysregulated microRNA (miRNA) expression is a well-established feature of human cancer. However, the role of specific miRNAs in determining cancer outcomes remains unclear. Using L…
On Graphical Models via Univariate Exponential Family Distributions
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +1
Undirected graphical models, or Markov networks, are a popular class of statistical models, used in a wide variety of applications. Popular instances of this class include Gaussian…
A Log-Linear Graphical Model for Inferring Genetic Networks from High-Throughput Sequencing Data
Genevera I. Allen, Zhandong Liu
Gaussian graphical models are often used to infer gene networks based on microarray expression data. Many scientists, however, have begun using high-throughput sequencing technolog…