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Simeone Marino - Publications

Affiliations: 
2004-2005 BME Georgia Institute of Technology, Atlanta, GA 
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29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Marino S, Zhao Y, Zhou N, Zhou Y, Toga AW, Zhao L, Jian Y, Yang Y, Chen Y, Wu Q, Wild J, Cummings B, Dinov ID. Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets. Plos One. 15: e0228520. PMID 32857775 DOI: 10.1371/Journal.Pone.0228520  0.38
2018 Marino S, Hult C, Wolberg P, Linderman JJ, Kirschner DE. The Role of Dimensionality in Understanding Granuloma Formation. Computation (Basel, Switzerland). 6. PMID 31258937 DOI: 10.3390/Computation6040058  0.338
2018 Marino S, Zhou N, Zhao Y, Wang L, Wu Q, Dinov ID. HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets. Journal of Statistical Computation and Simulation. 89: 249-271. PMID 30962669 DOI: 10.1080/00949655.2018.1545228  0.313
2018 Marino S, Xu J, Zhao Y, Zhou N, Zhou Y, Dinov ID. Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. Plos One. 13: e0202674. PMID 30161148 DOI: 10.1371/Journal.Pone.0202674  0.387
2018 Cicchese JM, Evans S, Hult C, Joslyn LR, Wessler T, Millar JA, Marino S, Cilfone NA, Mattila JT, Linderman JJ, Kirschner DE. Dynamic balance of pro- and anti-inflammatory signals controls disease and limits pathology. Immunological Reviews. 285: 147-167. PMID 30129209 DOI: 10.1111/Imr.12671  0.348
2018 Magombedze G, Marino S. Mathematical and computational approaches in understanding the immunobiology of granulomatous diseases Current Opinion in Systems Biology. 12: 1-11. DOI: 10.1016/J.Coisb.2018.07.002  0.356
2017 Kirschner D, Pienaar E, Marino S, Linderman JJ. A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment. Current Opinion in Systems Biology. 3: 170-185. PMID 30714019 DOI: 10.1016/J.Coisb.2017.05.014  0.411
2016 Marino S, Kirschner DE. A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection. Computation (Basel, Switzerland). 4. PMID 28989808 DOI: 10.3390/Computation4040039  0.346
2016 Marino S, Gideon HP, Gong C, Mankad S, McCrone JT, Lin PL, Linderman JJ, Flynn JL, Kirschner DE. Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome. Plos Computational Biology. 12: e1004804. PMID 27065304 DOI: 10.1371/Journal.Pcbi.1004804  0.348
2015 Hazel A, Marino S, Simon C. An anthropologically based model of the impact of asymptomatic cases on the spread of Neisseria gonorrhoeae. Journal of the Royal Society, Interface / the Royal Society. 12. PMID 25808340 DOI: 10.1098/Rsif.2015.0067  0.323
2015 Marino S, Cilfone NA, Mattila JT, Linderman JJ, Flynn JL, Kirschner DE. Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection. Infection and Immunity. 83: 324-38. PMID 25368116 DOI: 10.1128/Iai.02494-14  0.308
2014 Kirschner DE, Hunt CA, Marino S, Fallahi-Sichani M, Linderman JJ. Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 6: 289-309. PMID 24810243 DOI: 10.1002/Wsbm.1270  0.394
2014 Marino S, Baxter NT, Huffnagle GB, Petrosino JF, Schloss PD. Mathematical modeling of primary succession of murine intestinal microbiota. Proceedings of the National Academy of Sciences of the United States of America. 111: 439-44. PMID 24367073 DOI: 10.1073/Pnas.1311322111  0.393
2013 Repasy T, Lee J, Marino S, Martinez N, Kirschner DE, Hendricks G, Baker S, Wilson AA, Kotton DN, Kornfeld H. Intracellular bacillary burden reflects a burst size for Mycobacterium tuberculosis in vivo. Plos Pathogens. 9: e1003190. PMID 23436998 DOI: 10.1371/Journal.Ppat.1003190  0.327
2011 Marino S, El-Kebir M, Kirschner D. A hybrid multi-compartment model of granuloma formation and T cell priming in tuberculosis. Journal of Theoretical Biology. 280: 50-62. PMID 21443879 DOI: 10.1016/J.Jtbi.2011.03.022  0.384
2011 Fallahi-Sichani M, El-Kebir M, Marino S, Kirschner DE, Linderman JJ. Multiscale computational modeling reveals a critical role for TNF-α receptor 1 dynamics in tuberculosis granuloma formation. Journal of Immunology (Baltimore, Md. : 1950). 186: 3472-83. PMID 21321109 DOI: 10.4049/Jimmunol.1003299  0.384
2011 Marino S, Linderman JJ, Kirschner DE. A multifaceted approach to modeling the immune response in tuberculosis. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 3: 479-89. PMID 21197656 DOI: 10.1002/Wsbm.131  0.379
2011 Lall R, Donohue TJ, Marino S, Mitchell JC. Optimizing ethanol production selectivity Mathematical and Computer Modelling. 53: 1363-1373. DOI: 10.1016/J.Mcm.2010.01.016  0.656
2010 Marino S, Myers A, Flynn JL, Kirschner DE. TNF and IL-10 are major factors in modulation of the phagocytic cell environment in lung and lymph node in tuberculosis: a next-generation two-compartmental model. Journal of Theoretical Biology. 265: 586-98. PMID 20510249 DOI: 10.1016/J.Jtbi.2010.05.012  0.303
2008 Marino S, Hogue IB, Ray CJ, Kirschner DE. A methodology for performing global uncertainty and sensitivity analysis in systems biology. Journal of Theoretical Biology. 254: 178-96. PMID 18572196 DOI: 10.1016/J.Jtbi.2008.04.011  0.401
2007 Marino S, Beretta E, Kirschner DE. The role of delays in innate and adaptive immunity to intracellular bacterial infection. Mathematical Biosciences and Engineering : Mbe. 4: 261-88. PMID 17658927 DOI: 10.3934/Mbe.2007.4.261  0.351
2006 Voit EO, Almeida J, Marino S, Lall R, Goel G, Neves AR, Santos H. Regulation of glycolysis in Lactococcus lactis: an unfinished systems biological case study. Systems Biology. 153: 286-98. PMID 16986630 DOI: 10.1049/ip-syb:20050087  0.638
2006 Marino S, Voit EO. An automated procedure for the extraction of metabolic network information from time series data. Journal of Bioinformatics and Computational Biology. 4: 665-91. PMID 16960969 DOI: 10.1142/S0219720006002259  0.612
2005 Voit EO, Marino S, Lall R. Challenges for the identification of biological systems from in vivo time series data. In Silico Biology. 5: 83-92. PMID 15972008  0.65
2005 Kirschner D, Marino S. Mycobacterium tuberculosis as viewed through a computer. Trends in Microbiology. 13: 206-11. PMID 15866037 DOI: 10.1016/J.Tim.2005.03.005  0.409
2005 Gammack D, Ganguli S, Marino S, Segovia-Juarez J, Kirschner DE. Understanding the Immune Response in Tuberculosis Using Different Mathematical Models and Biological Scales Multiscale Modeling & Simulation. 3: 312-345. DOI: 10.1137/040603127  0.381
2004 Marino S, Pawar S, Fuller CL, Reinhart TA, Flynn JL, Kirschner DE. Dendritic cell trafficking and antigen presentation in the human immune response to Mycobacterium tuberculosis. Journal of Immunology (Baltimore, Md. : 1950). 173: 494-506. PMID 15210810 DOI: 10.4049/Jimmunol.173.1.494  0.34
2004 Marino S, Kirschner DE. The human immune response to Mycobacterium tuberculosis in lung and lymph node. Journal of Theoretical Biology. 227: 463-86. PMID 15038983 DOI: 10.1016/J.Jtbi.2003.11.023  0.396
2003 Marino S, Ganguli S, Joseph IM, Kirschner DE. The importance of an inter-compartmental delay in a model for human gastric acid secretion. Bulletin of Mathematical Biology. 65: 963-90. PMID 14607284 DOI: 10.1016/S0092-8240(03)00046-6  0.336
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