Публикации

2020:

  • Yusipov, I., Bacalini, M.G., Kalyakulina, A., Krivonosov, M., Pirazzini, C., Gensous, N., Ravaioli, F., Milazzo, M., Vedunova, M., Fiorito, G., Gagliardi, A., Polidoro, S., Garagnani, P., Ivanchenko, M., Franceschi, C. (2020) Complex sex-specific age-related changes in DNA methylation including variability, epimutations and entropy, BioRxiv.
  • Whitwell, H.J., Worthington, J., Blyuss, O., Gentry-Maharaj, A., Ryan, A., Gunu, R., Kalsi, J., Menon, U., Jacobs, I., Zaikin, A., Timms, J.F. (2020) Improved early detection of ovarian cancer using longitudinal multimarker models. Br J Cancer.
  • Whitwell, H., Bacalini, M. G., Blyuss, O., Chen, S., Garagnani, P., Gordleeva, S. Y., … & Zaikin , A. (2020). The human body as a super network: digital methods to analyse propagation of ageing. Frontiers in Aging Neuroscience12, 136.

2019:

  • Verma, R.K., Giuliani, C., Kalyakulina, A., Ivanchenko, M., Jalan, S. (2019) Altitude-wise analysis of co-occurrence networks of mitochondrial genome in Asian population, BioRxiv.
  • Conte, M., Conte, G., Martucci, M., Monti, D., Casarosa, L., Serra, A., … & Salvioli, S. (2019). The smell of longevity: a combination of Volatile Organic Compounds (VOCs) can discriminate centenarians and their offspring from age-matched subjects and young controls. GeroScience, 1-16.
  • Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., … & Miller, A. H. (2019). Chronic inflammation in the etiology of disease across the life span. Nature medicine25(12), 1822-1832.
  • Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., … & Sathyan, S. (2019). Undulating changes in human plasma proteome profiles across the lifespan. Nature Medicine25(12), 1843-1850.
  • Franceschi, C., Ostan, R., Mariotti, S., Monti, D., & Vitale, G. (2019). The Aging Thyroid: A Reappraisal Within the Geroscience Integrated Perspective. Endocrine reviews.
  • Franceschi, C., Garagnani, P., Gensous, N., Bacalini, M. G., Conte, M., & Salvioli, S. (2019). Accelerated bio‐cognitive aging in Down syndrome: State of the art and possible deceleration strategies. Aging cell18(3), e12903.
  • Shinde, P., Marrec, L., Rai, A., Yadav, A., Kumar, R., Ivanchenko, M., … & Jalan, S. (2019). Symmetry in cancer networks identified: Proposal for multicancer biomarkers. Network Science7(4), 541-555.
  • Koblents, E., Mariño, I. P., & Míguez, J. (2019). Bayesian computation methods for inference in stochastic kinetic models. Complexity2019.
  • Kachhvah, A. D., & Jalan, S. (2019). Delay regulated explosive synchronization in multiplex networks. New Journal of Physics21(1), 015006.
  • Meyerov, I., Sysoyev, A., Pirova, A., Shestakova, N., & Ivanchenko, M. (2019). Bridging the Gap Between Applications and Supercomputing: A New Master’s Program in Computational Science. In Russian Supercomputing Days (pp. 529-541). Springer, Cham.
  • Blyuss, O., Zaikin, A., Cherepanova, V., Munblit, D., Kiseleva, E. M., Prytomanova, O. M., … & Crnogorac-Jurcevic, T. (2019). Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients. British Journal of Cancer, 1-5.
  • Jalan, S., Rathore, V., Kachhvah, A. D., & Yadav, A. (2019). Inhibition-induced explosive synchronization in multiplex networks. Physical Review E99(6), 062305.
  • Morsiani, C., Bacalini, M. G., Santoro, A., Garagnani, P., Collura, S., D’Errico, A., … & Capri, M. (2019). The peculiar aging of human liver: A geroscience perspective within transplant context. Ageing research reviews.
  • Abrego, L., & Zaikin, A. (2019). Integrated Information as a Measure of Cognitive Processes in Coupled Genetic Repressilators. Entropy21(4), 382.
  • Jalan, S., Kumar, A., & Leyva, I. (2019). Explosive synchronization in frequency displaced multiplex networks. Chaos: An Interdisciplinary Journal of Nonlinear Science29(4), 041102.
  • Gordleeva, S. Y., Lotareva, Y. A., Krivonosov, M. I., Zaikin, A. A., Ivanchenko, M. V., & Gorban, A. N. (2019). Astrocytes Organize Associative Memory. In International Conference on Neuroinformatics (pp. 384-391). Springer, Cham.
  • Capri, M., Morsiani, C., Santoro, A., Moriggi, M., Conte, M., Martucci, M., … & Flück, M. (2019). Recovery from 6-month spaceflight at the International Space Station: muscle-related stress into a proinflammatory setting. The FASEB Journal, fj-201801625R.
  • Калякулина, А.И., Юсипов, И.И., Иванченко, М.В., Франчески, К. (2019) Применение дисперсионного анализа для поиска биомаркеров-предикторов возраста, связанных с полом. «Биосистемы: организация, поведение, управление» 72-я Всероссийская с международным участием школа-конференция молодых ученых. Тезисы докладов. С. 103.
  • Юсипов, И.И., Калякулина, А.И., Иванченко, М.В., Франчески, К. (2019) Применение связанных с полом эпигенетических часов для предсказания биологического возраста человека. «Биосистемы: организация, поведение, управление» 72-я Всероссийская с международным участием школа-конференция молодых ученых. Тезисы докладов. С. 258.
  • Кривоносов, М.И., Иванченко, М.В., Франчески, К. (2019) Использование паренклетических сетей для выделения генов и CpG сайтов, ассоциированных с синдромом Дауна. «Биосистемы: организация, поведение, управление» 72-я Всероссийская с международным участием школа-конференция молодых ученых. Тезисы докладов. С. 122.
  • Вершинина, О.С., Иванченко, М.В., Франчески, К. (2019) Классификация возрастных групп и определение генов-биомаркеров старения по данным метилирования ДНК. «Биосистемы: организация, поведение, управление» 72-я Всероссийская с международным участием школа-конференция молодых ученых. Тезисы докладов. С. 57.
  • Kalyakulina, A., Yusipov, I., Vershinina, O., Ivanchenko, M., Franceschi, C. (2019) Nonlinearity and stochasticity of age-related sex-specific methylation changes. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 128-130.
  • Krivonosov, M.I., Ivanchenko, M.V., Jalan, S., Bacalini, M.G., Franceschi, C. (2019) Parenclitic analysis of high-dimensionality DNA methylation data. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 164.
  • Nazarenko, T., Krivonosov, M.I., Zaikin, A.A. (2019) Analysis of longitudinal high-dimensional medical data with parenclitic networks. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 192.
  • Ivanchenko, M.V., Krivonosov, M.I., Jalan, S., Bacalini, M.G., Franceschi, C. (2019) Down syndrome: footprint in parenclitic networks of DNA methylation. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 121.
  • Gordleeva, S., Kanakov, O., Zaikin, A. (2019) Garbage induced model of inflammaging propagation. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 104-106.
  • Makovkin, S., Ivanchenko, M., Zaikin, A., Jalan, S. (2019) Investigating multiplex models of neuron-glial systems: small-world topology and inhibitory coupling. PhysCon2019 – The 9th International Scientific Conference on Physics and Control. Conference Proceedings. P. 184-186.
  • Ivanchenko, M.V., Franceschi, C. (2019) DNA methylation in aging: a complex system. PhysCon2019 – The 9th International Scientific Conference on Physics and Control.
  • Franceschi, C. (2019) Systems biology of ageing: dynamics, nonlinearity, and stochasticity. PhysCon2019 – The 9th International Scientific Conference on Physics and Control.
  • Ivanchenko, M.V., Vershinina, O.S., Franceschi, C. (2019) Nonlinearity and stochasticity in age-related DNA methylation changes. International symposium «Biology of Aging: Understanding aging to better intervene» Monreal, Canada.
  • Shkerin, I. V., Makovkin, S. Yu., Ivanchenko, M. V., Gordleeva, S. Yu. (2019) Synchronization in a minimal neuron-astrocyte network. Second International Conference. Topological Methods in Dynamics and Related Topics. Shilnikov Workshop. Book of Abstracts.
  • Калякулина, А.И., Юсипов, И.И. Программа для ЭВМ «Гендерно-специфичный анализ данных метилирования». Свидетельство №2019619998 от 29.07.2019.
  • Канаков, О.И., Сутягин, А.А. Программа для ЭВМ «Программа для моделирования обучения коллективного классификатора на основе конкуренции с сосуществованием (CollectiveLearnCoexist)». Свидетельство №2019667420 от 23.12.2019.

2018:

  • Nené, N. R., Rivington, J., & Zaikin, A. (2018). Sensitivity of asymmetric rate-dependent critical systems to initial conditions: insights into cellular decision making. Physical Review E 98, 022317.
  • Franceschi, C., Ostan, R., & Santoro, A. (2018). Nutrition and Inflammation: Are Centenarians Similar to Individuals on Calorie-Restricted Diets? Annual review of nutrition, (0).
  • Vázquez, M. A., Mariño, I. P., Blyuss, O., Ryan, A., Gentry-Maharaj, A., Kalsi, J., … & Zaikin, A. (2018). A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer. Biomedical signal processing and control46, 86-93.
  • Giuliani, C., Garagnani, P., & Franceschi, C. (2018). Genetics of human longevity within an eco-evolutionary nature-nurture framework. Circulation Research123(7), 745-772.
  • Kachhvah, A. D., & Jalan, S. (2018). Delay Regulated Explosive Synchronization in Multiplex Networks. arXiv preprint arXiv:1810.05839.
  • Franceschi, C., Zaikin, A., Gordleeva, S., Ivanchenko, M., Bonifazi, F., Storci, G., & Bonafè, M. (2018). Inflammaging 2018: An update and a model. In Seminars in immunology (Vol. 40, p. 1).
  • Pérez-Vieites, S., Mariño, I. P., & Míguez, J. (2018). Probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems. Physical Review E98(6), 063305.
  • Lacasa, L., Mariño, I. P., Miguez, J., Nicosia, V., Roldán, É., Lisica, A., … & Gómez-Gardeñes, J. (2018). Multiplex decomposition of non-Markovian dynamics and the hidden layer reconstruction problem. Physical Review X8(3), 031038.
  • Rai, A., Shinde, P., & Jalan, S. (2018). Network spectra for drug-target identification in complex diseases: new guns against old foes. Applied Network Science3(1), 51.
  • Sarkar, C., & Jalan, S. (2018). Spectral properties of complex networks. Chaos: An Interdisciplinary Journal of Nonlinear Science28(10), 102101.
  • Shinde, P., Whitwell, H. J., Verma, R. K., Zaikin, A., & Jalan, S. (2018). Impact of mitochondrial epistatic interactions on evolution of different human subpopulations. bioRxiv, 505818.

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