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]
|