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References from HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference. Local targets link to admitted publications; unresolved targets remain external evidence.
Overview of DNA microarrays: types, applications, and their future
10.1002/0471142727.mb2201s101 · 2013 · External reference
PFBNet: a priori-fused boosting method for gene regulatory network inference
10.1186/s12859-020-03639-7 · 2020 · External reference
Xgboost: a scalable tree boosting system
10.1145/2939672.2939785 · 2016 · External reference
HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation
10.1093/bioinformatics/btx501 · 2017 · External reference
RegulonDB version 9.0: high-level integration of gene regulation, coexpression, motif clustering and beyond
10.1093/nar/gkv1156 · 2016 · External reference
Application of Euclidean distance measurement and principal component analysis for gene identification
10.1016/j.gene.2016.02.015 · 2016 · External reference
DREAM4: combining genetic and dynamic information to identify biological networks and dynamical models
10.1371/journal.pone.0013397 · 2010 · External reference
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction
10.1093/bib/bbab166 · 2021 · External reference
Unresolved reference
2012 · External reference
dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data
10.1038/s41598-018-21715-0 · 2018 · External reference
Combining tree-based and dynamical systems for the inference of gene regulatory networks
10.1093/bioinformatics/btu863 · 2015 · External reference
Inferring regulatory networks from expression data using tree-based methods
10.1371/journal.pone.0012776 · 2010 · External reference
Gene co-expression network based on part mutual information for gene-to-gene relationship and gene-cancer correlation analysis
10.1186/s12859-022-04732-9 · 2022 · External reference
Metabolomic and transcriptomic stress response of Escherichia coli
10.1038/msb.2010.18 · 2010 · External reference
Lightgbm: a highly efficient gradient boosting decision tree
2017 · External reference
An approach of gene regulatory network construction using mixed entropy optimizing context-related likelihood mutual information
10.1093/bioinformatics/btac717 · 2023 · External reference
Partial cross mapping eliminates indirect causal influences
10.1038/s41467-020-16238-0 · 2020 · External reference
Inference of gene regulatory network based on local Bayesian networks
10.1371/journal.pcbi.1005024 · 2016 · External reference
RWRNET: a gene regulatory network inference algorithm using random walk with restart
10.3389/fgene.2020.591461 · 2020 · External reference
NSCGRN: a network structure control method for gene regulatory network inference
10.1093/bib/bbac156 · 2022 · External reference
NSRGRN: a network structure refinement method for gene regulatory network inference
10.1093/bib/bbad129 · 2023 · External reference
From time-series transcriptomics to gene regulatory networks: a review on inference methods
10.1371/journal.pcbi.1011254 · 2023 · External reference
Arc and path consistency revisited
10.1016/0004-3702(86)90083-4 · 1986 · External reference
Wisdom of crowds for robust gene network inference
10.1038/nmeth.2016 · 2012 · External reference
Integrative random forest for gene regulatory network inference
10.1093/bioinformatics/btv268 · 2015 · External reference
From knockouts to networks: establishing direct cause-effect relationships through graph analysis
10.1371/journal.pone.0012912 · 2010 · External reference
Review and assessment of Boolean approaches for inference of gene regulatory networks
10.1016/j.heliyon.2022.e10222 · 2022 · External reference
NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms
10.1371/journal.pone.0092709 · 2014 · External reference
Reconstructing gene regulatory networks from knock-out data using Gaussian Noise Model and Pearson Correlation Coefficient
10.1016/j.compbiolchem.2015.04.012 · 2015 · External reference
Mutual information and the fidelity of response of gene regulatory models
10.1088/1478-3975/11/4/046004 · 2014 · External reference
RNA-Seq: a revolutionary tool for transcriptomics
10.1038/nrg2484 · 2009 · External reference
PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches
10.1093/bioinformatics/btp674 · 2010 · External reference
An integrated framework for local genetic correlation analysis
10.1038/s41588-022-01017-y · 2022 · External reference
Inferring gene regulatory networks via ensemble path consistency algorithm based on conditional mutual information
10.1109/tcbb.2022.3220581 · 2022 · External reference
Overview of gene regulatory network inference based on differential equation models
10.2174/1389203721666200213103350 · 2020 · External reference
Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data
10.1038/s41587-024-02182-7 · 2025 · External reference
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
10.1093/bioinformatics/btr626 · 2012 · External reference
Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
10.1093/nar/gku1315 · 2015 · External reference
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks
10.1093/bioinformatics/bty908 · 2019 · External reference
