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For: Esteban-Medina M, Peña-Chilet M, Loucera C, Dopazo J. Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models. BMC Bioinformatics 2019;20:370. [PMID: 31266445 DOI: 10.1186/s12859-019-2969-0] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 5.7] [Reference Citation Analysis]
Number Citing Articles
1 Smaïl-Tabbone M, Rance B; Section Editors for the IMIA Yearbook Section on Bioinformatics and Translational Informatics. Contributions from the 2019 Literature on Bioinformatics and Translational Informatics. Yearb Med Inform 2020;29:188-92. [PMID: 32823315 DOI: 10.1055/s-0040-1702002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Brasil S, Neves CJ, Rijoff T, Falcão M, Valadão G, Videira PA, Dos Reis Ferreira V. Artificial Intelligence in Epigenetic Studies: Shedding Light on Rare Diseases. Front Mol Biosci 2021;8:648012. [PMID: 34026829 DOI: 10.3389/fmolb.2021.648012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Auslander N, Gussow AB, Koonin EV. Incorporating Machine Learning into Established Bioinformatics Frameworks. Int J Mol Sci 2021;22:2903. [PMID: 33809353 DOI: 10.3390/ijms22062903] [Reference Citation Analysis]
4 Martorell-Marugán J, López-Domínguez R, García-Moreno A, Toro-Domínguez D, Villatoro-García JA, Barturen G, Martín-Gómez A, Troule K, Gómez-López G, Al-Shahrour F, González-Rumayor V, Peña-Chilet M, Dopazo J, Sáez-Rodríguez J, Alarcón-Riquelme ME, Carmona-Sáez P. A comprehensive database for integrated analysis of omics data in autoimmune diseases. BMC Bioinformatics 2021;22:343. [PMID: 34167460 DOI: 10.1186/s12859-021-04268-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Humayun F, Domingo-Fernández D, Paul George AA, Hopp MT, Syllwasschy BF, Detzel MS, Hoyt CT, Hofmann-Apitius M, Imhof D. A Computational Approach for Mapping Heme Biology in the Context of Hemolytic Disorders. Front Bioeng Biotechnol 2020;8:74. [PMID: 32211383 DOI: 10.3389/fbioe.2020.00074] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
6 Peña-Chilet M, Esteban-Medina M, Falco MM, Rian K, Hidalgo MR, Loucera C, Dopazo J. Using mechanistic models for the clinical interpretation of complex genomic variation. Sci Rep 2019;9:18937. [PMID: 31831811 DOI: 10.1038/s41598-019-55454-7] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
7 Loucera C, Esteban-Medina M, Rian K, Falco MM, Dopazo J, Peña-Chilet M. Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection. Signal Transduct Target Ther 2020;5:290. [PMID: 33311438 DOI: 10.1038/s41392-020-00417-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
8 Rian K, Esteban-Medina M, Hidalgo MR, Çubuk C, Falco MM, Loucera C, Gunyel D, Ostaszewski M, Peña-Chilet M, Dopazo J. Mechanistic modeling of the SARS-CoV-2 disease map. BioData Min 2021;14:5. [PMID: 33478554 DOI: 10.1186/s13040-021-00234-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Rian K, Hidalgo MR, Çubuk C, Falco MM, Loucera C, Esteban-Medina M, Alamo-Alvarez I, Peña-Chilet M, Dopazo J. Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data. Comput Struct Biotechnol J 2021;19:2968-78. [PMID: 34136096 DOI: 10.1016/j.csbj.2021.05.022] [Reference Citation Analysis]
10 Garrido-Rodriguez M, Lopez-Lopez D, Ortuno FM, Peña-Chilet M, Muñoz E, Calzado MA, Dopazo J. A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. PLoS Comput Biol 2021;17:e1008748. [PMID: 33571195 DOI: 10.1371/journal.pcbi.1008748] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Çubuk C, Can FE, Peña-Chilet M, Dopazo J. Mechanistic Models of Signaling Pathways Reveal the Drug Action Mechanisms behind Gender-Specific Gene Expression for Cancer Treatments. Cells 2020;9:E1579. [PMID: 32610626 DOI: 10.3390/cells9071579] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Golriz Khatami S, Mubeen S, Bharadhwaj VS, Kodamullil AT, Hofmann-Apitius M, Domingo-Fernández D. Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures. NPJ Syst Biol Appl 2021;7:40. [PMID: 34707117 DOI: 10.1038/s41540-021-00199-1] [Reference Citation Analysis]
13 Falco MM, Peña-Chilet M, Loucera C, Hidalgo MR, Dopazo J. Mechanistic models of signaling pathways deconvolute the glioblastoma single-cell functional landscape. NAR Cancer 2020;2:zcaa011. [PMID: 34316686 DOI: 10.1093/narcan/zcaa011] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]