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Graphs generated by the DAG gen application.
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创建时间：
2019-11-04
相关数据集
Data used in "On network deconvolution for undirected graphs"
This repository contains processed data for real data application in our paper titled "On network deconvolution for undirected graphs".
DataCite Commons2024-07-31 更新90
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs
Random graphs have been widely used in statistics, for example in network analysis and graphical models. In some applications, the data may contain an inherent hierarchical ordering among its vertices
Taylor & Francis Group2025-10-24 更新50
Estimation of Directed Acyclic Graphs Through Two-stage Adaptive Lasso for Gene Network Inference
Graphical models are a popular approach to find dependence and conditional independence relationships between gene expressions. Directed acyclic graphs (DAGs) are a special class of directed graphical
DataCite Commons2020-09-04 更新80
Impact of increasing false positive and negative errors in perturbation data on estimation of acyclic graphs.
Average performances measures, in percentages for PCALG, FFLDR and RIPE in the synthetic DAG of size p = 100 with different error structures. Numbers in parentheses indicate the standard deviation of
NIAID Data Ecosystem60
