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Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Regression Shrinkage and Selection Via the Lasso
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Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling
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Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
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MUTUAL INFORMATION RELEVANCE NETWORKS: FUNCTIONAL GENOMIC CLUSTERING USING PAIRWISE ENTROPY MEASUREMENTS
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ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context
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Evaluation of gene-expression clustering via mutual information distance measure
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Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information
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Robustification of the PC-Algorithm for Directed Acyclic Graphs
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Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles
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Estimating high-dimensional directed acyclic graphs with the PC-algorithm
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Causation, Prediction, and Search
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ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

What points at this work

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BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks
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Differential network analysis via lasso penalized D-trace loss
inferred← citeshttps://doi.org/10.1093/biomethods/bpaf089openalex-snapshot
A hybrid framework for disease biomarker discovery in microbiome research combining Bayesian networks, machine learning, and network-based methods
inferred← citeshttps://doi.org/10.1093/gigascience/giad044openalex-snapshot
Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems
inferred← citeshttps://doi.org/10.1093/imaiai/iaag016openalex-snapshot
Property testing in Gaussian graphical models: trees and small separation numbers
inferred← citeshttps://doi.org/10.1093/nar/gkt147openalex-snapshot
Reconstructing regulatory networks from the dynamic plasticity of gene expression by mutual information
inferred← citeshttps://doi.org/10.1093/nar/gku1315openalex-snapshot
Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
inferred← citeshttps://doi.org/10.1098/rsif.2026.0040openalex-snapshot
Bayesian inference of gene regulatory networks at stochastic steady state
inferred← citeshttps://doi.org/10.1101/142034openalex-snapshot
Reverse-engineering biological networks from large data sets
inferred← citeshttps://doi.org/10.1101/2020.05.16.089623openalex-snapshot
HB-PLS: An algorithm for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression
inferred← citeshttps://doi.org/10.1101/2020.10.02.324558openalex-snapshot
Evolution of co-regulatory network of C 4 metabolic genes and TFs in the genus Flaveria: go anear or away in the intermediate species?
inferred← citeshttps://doi.org/10.1101/2021.05.12.443819openalex-snapshot
Mechanistic Gene Networks Inferred from Single-Cell Data are Better Predictors than Neural Networks
inferred← citeshttps://doi.org/10.1101/2021.12.20.473524openalex-snapshot
Informeasure: an R/Bioconductor package to quantify nonlinear dependence between variables in biological networks from an information theory perspective
inferred← citeshttps://doi.org/10.1101/2025.04.07.647660openalex-snapshot
Leveraging Bayesian Networks for Consensus Network Construction and Multi-Method Feature Selection to Decode Disease Prediction
inferred← citeshttps://doi.org/10.1101/852384openalex-snapshot
Estimating mutual information under measurement error
inferred← citeshttps://doi.org/10.1109/access.2018.2886644openalex-snapshot
Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images
inferred← citeshttps://doi.org/10.1109/access.2020.2976743openalex-snapshot
A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference
inferred← citeshttps://doi.org/10.1109/access.2021.3109133openalex-snapshot
Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network
inferred← citeshttps://doi.org/10.1109/access.2025.3646769openalex-snapshot
Architectural Selection Framework for Synthetic Network Traffic: Quantifying the Fidelity–Utility Trade-off
inferred← citeshttps://doi.org/10.1109/bibm.2013.6732473openalex-snapshot
Infer gene regulatory networks from time series data with formal methods
inferred← citeshttps://doi.org/10.1109/bibm.2016.7822524openalex-snapshot
Reconstructing gene regulatory network based on candidate auto selection method
inferred← citeshttps://doi.org/10.1109/bibm.2016.7822711openalex-snapshot
Integrative Gene Regulatory Network inference using multi-omics data
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995095openalex-snapshot
Identifying Temporal Biomarkers of Disease Development through a Thermodynamics-enriched Ensemble Framework
inferred← citeshttps://doi.org/10.1109/bigcom51056.2020.00026openalex-snapshot
Distributed Local Bayesian Network for Gene Regulatory Network Reconstruction
inferred← citeshttps://doi.org/10.1109/bigdataservice.2017.39openalex-snapshot
Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis
inferred← citeshttps://doi.org/10.1109/cac57257.2022.10055616openalex-snapshot
Identifying Topology of Complex Networked System Based on Block Orthogonal Matching Pursuit and Nonlinear Conditional Granger Causality
inferred← citeshttps://doi.org/10.1109/ccdc.2016.7531722openalex-snapshot
Gene selection for cancer classification using improved group lasso
inferred← citeshttps://doi.org/10.1109/cis.2017.00071openalex-snapshot
A Survey of Network Reconstruction on Social Network
inferred← citeshttps://doi.org/10.1109/empdp.2019.8671629openalex-snapshot
OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC
inferred← citeshttps://doi.org/10.1109/formalise.2015.12openalex-snapshot
Infer Gene Regulatory Networks from Time Series Data with Probabilistic Model Checking
inferred← citeshttps://doi.org/10.1109/fskd.2015.7381919openalex-snapshot
Learning fuzzy cognitive maps using decomposed parallel ant colony algorithm and gradient descent
inferred← citeshttps://doi.org/10.1109/fskd.2017.8393079openalex-snapshot
Comparison of software packages for Bayesian network learning in gene regulatory relationship mining
inferred← citeshttps://doi.org/10.1109/icbda.2016.7509844openalex-snapshot
A novel gene regulatory network construction method based on singular value decomposition
inferred← citeshttps://doi.org/10.1109/iccke.2017.8167936openalex-snapshot
Inferring gene regulatory network using path consistency algorithm based on conditional mutual information and genetic algorithm
inferred← citeshttps://doi.org/10.1109/icivpr.2017.7890888openalex-snapshot
Reconstruction of gene network through Backward Elimination based Information-Theoretic Inference with Maximal Information Coefficient
inferred← citeshttps://doi.org/10.1109/icter.2017.8257793openalex-snapshot
Constructing and analyzing gene regulatory networks in leaf senescence of arabidopsis thalina
inferred← citeshttps://doi.org/10.1109/ihmsc.2013.276openalex-snapshot
Synthetic Time Series Resembling Human (HeLa) Cell-Cycle Gene Expression Data and Application to Gene Regulatory Network Discovery
inferred← citeshttps://doi.org/10.1109/ikt.2016.7777761openalex-snapshot
Correlation analysis as a dependency measures for inferring of time-lagged gene regulatory network
inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00066openalex-snapshot
Fast Parallel Bayesian Network Structure Learning
inferred← citeshttps://doi.org/10.1109/isb.2012.6314126openalex-snapshot
A Gaussian graphical model for identifying significantly responsive regulatory networks from time series gene expression data
inferred← citeshttps://doi.org/10.1109/isb.2013.6623795openalex-snapshot
Exploring the interaction patterns in seasonal marine microbial communities with network analysis
inferred← citeshttps://doi.org/10.1109/isb.2013.6623806openalex-snapshot
Meta-analysis on gene regulatory networks discovered by pairwise Granger causality
inferred← citeshttps://doi.org/10.1109/itme.2016.0052openalex-snapshot
Inference of Gene Regulatory Network Based on Legendre Neural Network
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3199243openalex-snapshot
Evaluating Gene Regulatory Network Activity From Dynamic Expression Data by Regularized Constraint Programming
inferred← citeshttps://doi.org/10.1109/pma.2012.6524828openalex-snapshot
Identifying rice arsenic stress response pathways based on molecular interaction network
inferred← citeshttps://doi.org/10.1109/smc52423.2021.9659303openalex-snapshot
Learning Causal Fuzzy Logic Rules by Leveraging Markov Blankets
inferred← citeshttps://doi.org/10.1109/tcbb.2015.2394442openalex-snapshot
Inferring Time-Delayed Causal Gene Network Using Time-Series Expression Data
inferred← citeshttps://doi.org/10.1109/tcbb.2015.2424408openalex-snapshot
Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model
inferred← citeshttps://doi.org/10.1109/tcbb.2016.2591526openalex-snapshot
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs
inferred← citeshttps://doi.org/10.1109/tcbb.2017.2705143openalex-snapshot
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks
inferred← citeshttps://doi.org/10.1109/tcbb.2017.2761871openalex-snapshot
Grouped Gene Selection of Cancer via Adaptive Sparse Group Lasso Based on Conditional Mutual Information
inferred← citeshttps://doi.org/10.1109/tcbb.2018.2825446openalex-snapshot
Inferring Large-Scale Gene Regulatory Networks Using a Randomized Algorithm Based on Singular Value Decomposition
inferred← citeshttps://doi.org/10.1109/tcbb.2018.2846648openalex-snapshot
Quantifying Direct Dependencies in Biological Networks by Multiscale Association Analysis
inferred← citeshttps://doi.org/10.1109/tcbb.2018.2872993openalex-snapshot
Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach
inferred← citeshttps://doi.org/10.1109/tcbb.2019.2900614openalex-snapshot
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines
inferred← citeshttps://doi.org/10.1109/tcbb.2020.3029846openalex-snapshot
NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy
inferred← citeshttps://doi.org/10.1109/tcbb.2020.3039490openalex-snapshot
Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3220581openalex-snapshot
Inferring Gene Regulatory Networks via Ensemble Path Consistency Algorithm Based on Conditional Mutual Information
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3345317openalex-snapshot
BIC-LP: A Hybrid Higher-Order Dynamic Bayesian Network Score Function for Gene Regulatory Network Reconstruction
inferred← citeshttps://doi.org/10.1109/tcbb.2024.3423383openalex-snapshot
Improved Fuzzy Cognitive Maps for Gene Regulatory Networks Inference Based on Time Series Data
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2952711openalex-snapshot
A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types
inferred← citeshttps://doi.org/10.1109/tit.2020.3024886openalex-snapshot
Conditional Mutual Information Estimation for Mixed, Discrete and Continuous Data
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3685617openalex-snapshot
Motif-Based Hypergraph Representation Learning: Transductive and Inductive Inference for Gene Regulatory Networks
inferred← citeshttps://doi.org/10.1109/tpds.2019.2939126openalex-snapshot
cuPC: CUDA-Based Parallel PC Algorithm for Causal Structure Learning on GPU
inferred← citeshttps://doi.org/10.1109/tpds.2023.3326832openalex-snapshot
Parallel and Distributed Bayesian Network Structure Learning
inferred← citeshttps://doi.org/10.1109/trustcom.2015.640openalex-snapshot
Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing
inferred← citeshttps://doi.org/10.1109/ukci.2013.6651283openalex-snapshot
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms
inferred← citeshttps://doi.org/10.1111/coin.12182openalex-snapshot
Some node ordering methods for the K2 algorithm
inferred← citeshttps://doi.org/10.1111/febs.12536openalex-snapshot
Network biomarkers reveal dysfunctional gene regulations during disease progression
inferred← citeshttps://doi.org/10.1111/mice.13099openalex-snapshot
Identifying dynamic interaction patterns in mandatory and discretionary lane changes using graph structure
inferred← citeshttps://doi.org/10.1128/spectrum.00838-21openalex-snapshot
Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
inferred← citeshttps://doi.org/10.1142/s0219720024500264openalex-snapshot
Gene regulatory network inference based on modified adaptive lasso
inferred← citeshttps://doi.org/10.1142/s1793524516500406openalex-snapshot
Inferring gene regulatory networks by PCA-CMI using Hill climbing algorithm based on MIT score and SORDER method
inferred← citeshttps://doi.org/10.1145/3468945.3468960openalex-snapshot
Identifying Biomarkers of HCV-induced Dysplasia and Hepatocellular Carcinoma Based on Network Centrality
inferred← citeshttps://doi.org/10.1145/3589334.3645474openalex-snapshot
Whole Page Unbiased Learning to Rank
inferred← citeshttps://doi.org/10.1155/2017/4827171openalex-snapshot
Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems
inferred← citeshttps://doi.org/10.1155/2017/6961786openalex-snapshot
Inferring Molecular Processes Heterogeneity from Transcriptional Data
inferred← citeshttps://doi.org/10.1155/humu/7656300openalex-snapshot
ACOCMPMI: An Ant Colony Optimization Algorithm Based on Composite Multiscale Part Mutual Information for Detecting Epistatic Interactions
inferred← citeshttps://doi.org/10.1158/2159-8290.22539586openalex-snapshot
Supplementary Data from Discovery of Candidate DNA Methylation Cancer Driver Genes
inferred← citeshttps://doi.org/10.1158/2159-8290.22539586.v1openalex-snapshot
Supplementary Data from Discovery of Candidate DNA Methylation Cancer Driver Genes
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