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For: Buphamalai P, Kokotovic T, Nagy V, Menche J. Network analysis reveals rare disease signatures across multiple levels of biological organization. Nat Commun 2021;12:6306. [PMID: 34753928 DOI: 10.1038/s41467-021-26674-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Li MM, Huang K, Zitnik M. Graph representation learning in biomedicine and healthcare. Nat Biomed Eng 2022;6:1353-69. [PMID: 36316368 DOI: 10.1038/s41551-022-00942-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
2 Wang Y, Sun Z, He Q, Li J, Ni M, Yang M. Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships. Patterns 2022. [DOI: 10.1016/j.patter.2022.100651] [Reference Citation Analysis]
3 Wang D, Tian F, Wei D. Correlation analysis of combined layers in multiplex networks based on entropy. PLoS One 2022;17:e0276344. [PMID: 36306315 DOI: 10.1371/journal.pone.0276344] [Reference Citation Analysis]
4 Tang K, Tang J, Zeng J, Shen W, Zou M, Zhang C, Sun Q, Ye X, Li C, Sun C, Liu S, Jiang G, Du X. A network view of human immune system and virus-human interaction. Front Immunol 2022;13. [DOI: 10.3389/fimmu.2022.997851] [Reference Citation Analysis]
5 Savojardo C, Baldazzi D, Babbi G, Martelli PL, Casadio R. Mapping human disease-associated enzymes into Reactome allows characterization of disease groups and their interactions. Sci Rep 2022;12:17963. [PMID: 36289281 DOI: 10.1038/s41598-022-22818-5] [Reference Citation Analysis]
6 Granata I, Manipur I, Giordano M, Maddalena L, Guarracino MR. TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models. Sci Data 2022;9:607. [PMID: 36207341 DOI: 10.1038/s41597-022-01702-x] [Reference Citation Analysis]
7 Guo H, Lv X, Li Y, Li M. Attention-based GCN Integrates Multi-omics Data for Breast Cancer Subtype Classification and Patient-specific Gene Marker Identification.. [DOI: 10.1101/2022.09.05.506572] [Reference Citation Analysis]
8 Pagano-Márquez R, Córdoba-Caballero J, Martínez-Poveda B, Quesada AR, Rojano E, Seoane P, Ranea JAG, Ángel Medina M. Deepening the knowledge of rare diseases dependent on angiogenesis through semantic similarity clustering and network analysis. Brief Bioinform 2022:bbac220. [PMID: 35731990 DOI: 10.1093/bib/bbac220] [Reference Citation Analysis]
9 Lombardo SD, Wangsaputra IF, Menche J, Stevens A. Network Approaches for Charting the Transcriptomic and Epigenetic Landscape of the Developmental Origins of Health and Disease. Genes 2022;13:764. [DOI: 10.3390/genes13050764] [Reference Citation Analysis]
10 . Cartographs enable interpretation of complex network visualizations. Nat Comput Sci 2022;2:76-77. [DOI: 10.1038/s43588-022-00203-6] [Reference Citation Analysis]
11 Schmidt HHHW, Menche J. The regulatory network architecture of cardiometabolic diseases. Nat Genet 2022;54:2-3. [PMID: 35022603 DOI: 10.1038/s41588-021-00994-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]