Gene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancer KL Mine, N Shulzhenko, A Yambartsev, M Rochman, GFO Sanson, ... Nature communications 4 (1), 1806, 2013 | 89 | 2013 |

Reverse enGENEering of regulatory networks from big data: a roadmap for biologists X Dong, A Yambartsev, SA Ramsey, LD Thomas, N Shulzhenko, ... Bioinformatics and biology insights 9, BBI. S12467, 2015 | 56 | 2015 |

New approach reveals *CD28* and *IFNG* gene interaction in the susceptibility to cervical cancerVB Guzman, A Yambartsev, A Goncalves-Primo, IDCG Silva, ... Human molecular genetics 17 (12), 1838-1844, 2008 | 51 | 2008 |

Unexpected links reflect the noise in networks A Yambartsev, MA Perlin, Y Kovchegov, N Shulzhenko, KL Mine, X Dong, ... Biology direct 11, 1-12, 2016 | 37 | 2016 |

Two-dimensional Lorentzian models VA Malyshev, AA Yambartsev, AA Zamyatin Moscow Mathematical Journal 1 (3), 439-456, 2001 | 30 | 2001 |

Selection of control genes for quantitative RT-PCR based on microarray data N Shulzhenko, A Yambartsev, A Goncalves-Primo, M Gerbase-DeLima, ... Biochemical and biophysical research communications 337 (1), 306-312, 2005 | 28 | 2005 |

Construct and compare gene coexpression networks with DAPfinder and DAPview J Skinner, Y Kotliarov, S Varma, KL Mine, A Yambartsev, R Simon, ... BMC bioinformatics 12, 1-8, 2011 | 23 | 2011 |

Phase transition for the Ising model on the critical Lorentzian triangulation M Krikun, A Yambartsev Journal of Statistical Physics 148, 422-439, 2012 | 18 | 2012 |

Large deviations in a population dynamics with catastrophes A Logachov, O Logachova, A Yambartsev Statistics & Probability Letters 149, 29-37, 2019 | 14 | 2019 |

A note on weak convergence results for uniform infinite causal triangulations V Sisko, A Yambartsev, S Zohren arXiv preprint arXiv:1201.0264, 2011 | 14 | 2011 |

Random walks in a queueing network environment M Gannon, E Pechersky, Y Suhov, A Yambartsev Journal of Applied Probability 53 (2), 448-462, 2016 | 12 | 2016 |

Differentially correlated genes in co-expression networks control phenotype transitions LD Thomas, D Vyshenska, N Shulzhenko, A Yambartsev, A Morgun F1000Research 5, 2016 | 12 | 2016 |

Large deviations for excursions of non-homogeneous Markov processes A Mogulskii, E Pechersky, A Yambartsev | 12 | 2014 |

A Local Large Deviation Principle for Inhomogeneous Birth–Death Processes ND Vvedenskaya, AV Logachov, YM Suhov, AA Yambartsev Problems of Information Transmission 54 (3), 263-280, 2018 | 11 | 2018 |

Phase transition in ferromagnetic Ising model with a cell-board external field M González-Navarrete, E Pechersky, A Yambartsev Journal of Statistical Physics 162, 139-161, 2016 | 10 | 2016 |

Bounds on the critical line via transfer matrix methods for an Ising model coupled to causal dynamical triangulations JC Hernandez, Y Suhov, A Yambartsev, S Zohren Journal of Mathematical Physics 54 (6), 2013 | 10 | 2013 |

Local theorems for (multidimensional) additive functionals of semi-Markov chains A Logachov, A Mogulskii, E Prokopenko, A Yambartsev Stochastic Processes and their Applications 137, 149-166, 2021 | 9 | 2021 |

Building complex networks through classical and Bayesian statistics-A comparison LD Thomas, V Fossaluza, A Yambartsev AIP Conference Proceedings 1490 (1), 323-331, 2012 | 7 | 2012 |

A Mermin–Wagner theorem on Lorentzian triangulations with quantum spins M Kelbert, Y Suhov, A Yambartsev | 6 | 2014 |

Growth of uniform infinite causal triangulations V Sisko, A Yambartsev, S Zohren Journal of Statistical Physics 150, 353-374, 2013 | 6 | 2013 |