References
Aragam, Bryon, and Qing Zhou. 2015. “Concave Penalized Estimation of Sparse Gaussian Bayesian Networks.” Journal of Machine Learning Research 16 (69): 2273–2328. http://jmlr.org/papers/v16/aragam15a.html.
Bilous, Mariia, Loc Tran, Chiara Cianciaruso, Aurélie Gabriel, Hugo Michel, Santiago J Carmona, Mikael J Pittet, and David Gfeller. 2022. “Metacells Untangle Large and Complex Single-Cell Transcriptome Networks.” BMC Bioinformatics 23 (1): 336. https://doi.org/10.1186/s12859-022-04861-1.
Chan, Thalia E., Michael P. H. Stumpf, and Ann C. Babtie. 2017. “Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures.” Cell Systems 5 (3): 251–267.e3. https://doi.org/10.1016/j.cels.2017.08.014.
Hazimeh, Hussein, Rahul Mazumder, and Tim Nonet. 2023. “L0Learn: A Scalable Package for Sparse Learning Using L0 Regularization.” J. Mach. Learn. Res. 24 (205): 1–8. https://www.jmlr.org/papers/v24/22-0189.html.
McDavid, Andrew, Raphael Gottardo, Noah Simon, and Mathias Drton. 2019. “GRAPHICAL MODELS FOR ZERO-INFLATED SINGLE CELL GENE EXPRESSION.” The Annals of Applied Statistics 13 (2): 848–73. https://doi.org/10.1214/18-AOAS1213.
Sato, Noriaki, Yoshinori Tamada, Guangchuang Yu, and Yasushi Okuno. 2022. “CBNplot: Bayesian Network Plots for Enrichment Analysis.” Bioinformatics (Oxford, England) 38 (10): 2959–60. https://doi.org/10.1093/bioinformatics/btac175.
Schmidt, Mark, Alexandru Niculescu-Mizil, and Kevin Murphy. 2007. “Learning Graphical Model Structure Using L1-Regularization Paths.” In Proceedings of the 22nd National Conference on Artificial Intelligence - Volume 2, 1278–83. AAAI’07. Vancouver, British Columbia, Canada: AAAI Press.
Viinikka, Jussi, Ralf Eggeling, and Mikko Koivisto. 2018. “Intersection-Validation: A Method for Evaluating Structure Learning Without Ground Truth.” In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 1570–78. PMLR. https://proceedings.mlr.press/v84/viinikka18a.html.