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For: Jalili M, Gebhardt T, Wolkenhauer O, Salehzadeh-Yazdi A. Unveiling network-based functional features through integration of gene expression into protein networks. Biochim Biophys Acta Mol Basis Dis 2018;1864:2349-59. [PMID: 29466699 DOI: 10.1016/j.bbadis.2018.02.010] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ginsberg SD, Sharma S, Norton L, Chiosis G. Targeting stressor-induced dysfunctions in protein–protein interaction networks via epichaperomes. Trends in Pharmacological Sciences 2022. [DOI: 10.1016/j.tips.2022.10.006] [Reference Citation Analysis]
2 Luo H, Ge H. Application of Proteomics in the Discovery of Radiosensitive Cancer Biomarkers. Front Oncol 2022;12:852791. [PMID: 35280744 DOI: 10.3389/fonc.2022.852791] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Ahmed MM, Tazyeen S, Haque S, Sulimani A, Ali R, Sajad M, Alam A, Ali S, Bagabir HA, Bagabir RA, Ishrat R. Network-Based Approach and IVI Methodologies, a Combined Data Investigation Identified Probable Key Genes in Cardiovascular Disease and Chronic Kidney Disease. Front Cardiovasc Med 2021;8:755321. [PMID: 35071341 DOI: 10.3389/fcvm.2021.755321] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Biller JD, Polycarpo GDV, Moromizato BS, Sidekerskis APD, Silva TDD, Reis ICD, Fierro-castro C. Lysozyme activity as an indicator of innate immunity of tilapia (Oreochromis niloticus) when challenged with LPS and Streptococcus agalactiae. Revista Brasileira de Zootecnia 2021;50. [DOI: 10.37496/rbz5020210053] [Reference Citation Analysis]
5 Hollander M, Do T, Will T, Helms V. Detecting Rewiring Events in Protein-Protein Interaction Networks Based on Transcriptomic Data. Front Bioinform 2021;1:724297. [DOI: 10.3389/fbinf.2021.724297] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Wang YT, Lin MR, Chen WC, Wu WH, Wang FS. Optimization of a modeling platform to predict oncogenes from genome-scale metabolic networks of non-small-cell lung cancers. FEBS Open Bio 2021. [PMID: 34137202 DOI: 10.1002/2211-5463.13231] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
7 Klimm F, Toledo EM, Monfeuga T, Zhang F, Deane CM, Reinert G. Functional module detection through integration of single-cell RNA sequencing data with protein-protein interaction networks. BMC Genomics 2020;21:756. [PMID: 33138772 DOI: 10.1186/s12864-020-07144-2] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
8 Matkovich SJ. Multiomic approaches to delineate the pathogenesis of cardiac disease. Curr Opin Cardiol 2019;34:246-53. [PMID: 30973833 DOI: 10.1097/HCO.0000000000000611] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
9 Li P, Guo M, Sun B. Integration of multi-omics data to mine cancer-related gene modules. J Bioinform Comput Biol 2019;17:1950038. [PMID: 32019413 DOI: 10.1142/S0219720019500380] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Chen X, Huang Q, Wang Y, Li J, Liu H, Xie Y, Dai Z, Zou X, Li Z. A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences. Anal Methods 2020;12:2016-26. [DOI: 10.1039/c9ay02333j] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
11 Wang FS, Wu WH, Hsiu WS, Liu YJ, Chuang KW. Genome-Scale Metabolic Modeling with Protein Expressions of Normal and Cancerous Colorectal Tissues for Oncogene Inference. Metabolites 2019;10:E16. [PMID: 31881674 DOI: 10.3390/metabo10010016] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
12 Mateos J, Fafián-Labora J, Morente-López M, Lesende-Rodriguez I, Monserrat L, Ódena MA, Oliveira E, de Toro J, Arufe MC. Next-Generation Sequencing and Quantitative Proteomics of Hutchinson-Gilford progeria syndrome-derived cells point to a role of nucleotide metabolism in premature aging. PLoS One 2018;13:e0205878. [PMID: 30379953 DOI: 10.1371/journal.pone.0205878] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 3.8] [Reference Citation Analysis]
13 Cai Y, Huang T. Accelerating precision medicine through genetic and genomic big data analysis. Biochim Biophys Acta Mol Basis Dis 2018;1864:2215-7. [PMID: 29548968 DOI: 10.1016/j.bbadis.2018.03.012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]