BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Lv Y, Huang S, Zhang T, Gao B. Application of Multilayer Network Models in Bioinformatics. Front Genet 2021;12:664860. [PMID: 33868392 DOI: 10.3389/fgene.2021.664860] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Cosentini I, Barresi V, Condorelli DF, Ferro A, Pulvirenti A, Alaimo S. COMBO: A Computational Framework to Analyze RNA-seq and Methylation Data Through Heterogeneous Multi-layer Networks. Complex Networks and Their Applications XI 2023. [DOI: 10.1007/978-3-031-21127-0_21] [Reference Citation Analysis]
2 Ren T, Huang S, Liu Q, Wang G. scWECTA: A weighted ensemble classification framework for cell type assignment based on single cell transcriptome. Comput Biol Med 2023;152:106409. [PMID: 36512878 DOI: 10.1016/j.compbiomed.2022.106409] [Reference Citation Analysis]
3 Xu XJ, Gao HX, Zhu LC, Zhu R. Identifying Tumor-Associated Genes from Bilayer Networks of DNA Methylation Sites and RNAs. Life (Basel) 2022;13. [PMID: 36676027 DOI: 10.3390/life13010076] [Reference Citation Analysis]
4 Pérez SI, Moral-rubio S, Criado R. Combining multiplex networks and time series: A new way to optimize real estate forecasting in New York using cab rides. Physica A: Statistical Mechanics and its Applications 2022. [DOI: 10.1016/j.physa.2022.128306] [Reference Citation Analysis]
5 Robin V, Bodein A, Scott-boyer M, Leclercq M, Périn O, Droit A. Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context. Front Mol Biosci 2022;9:962799. [DOI: 10.3389/fmolb.2022.962799] [Reference Citation Analysis]