Characterizing genomic alterations in cancer by complementary functional associations JW Kim, OB Botvinnik, O Abudayyeh, C Birger, J Rosenbluh, Y Shrestha, ... Nature biotechnology 34 (5), 539-546, 2016 | 105 | 2016 |
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks SA Malekpour, AR Alizad-Rahvar, M Sadeghi BMC bioinformatics 21 (1), 1-21, 2020 | 12 | 2020 |
A new approach for UWB channel estimation AR Alizad, B Alipanahi, A Ghasemi, M Shiva, SH Jamali, ... 2005 5th International Conference on Information Communications & Signal …, 2005 | 9 | 2005 |
Channel estimation for time-hopping pulse position modulation ultra-wideband communication systems AR Alizad, B Alipanahi, M Shiva, SH Jamali, S Nader-Esfahani IET communications 2 (8), 1051-1060, 2008 | 7 | 2008 |
False Negative Mitigation in Group Testing for COVID-19 Screening AR Alizad-Rahvar, S Vafadar, M Totonchi, M Sadeghi Frontiers in Medicine 8, 579, 2021 | 6 | 2021 |
Boundary effect correction in k-nearest-neighbor estimation AR Alizad Rahvar, M Ardakani Physical Review E 83 (5), 051121, 2011 | 6 | 2011 |
Ambiguity in logic-based models of gene regulatory networks: An integrative multi-perturbation analysis AR Alizad-Rahvar, M Sadeghi PLOS ONE 13 (11), e0206976, 2018 | 4 | 2018 |
Finding weak directional coupling in multiscale time series AR Alizad-Rahvar, M Ardakani Physical Review E 86 (1), 016215, 2012 | 4 | 2012 |
A blind channel estimation technique for TH-PPM UWB systems AR Alizad, B Alipanahi, A Ghasemi, M Shiva, SH Jamali, ... 2006 IEEE International Conference on Communications 10, 4717-4722, 2006 | 3 | 2006 |
Effect of asymptomatic transmission and emergence time on multi-strain viral disease severity AR Alizad-Rahvar, M Sadeghi PLOS ONE, 2022 | | 2022 |
Nonlinear Dynamic Causality Inference in Time Series AR Alizad-Rahvar University of Alberta (Canada), 2014 | | 2014 |
A new method for detecting non-linear causality in time series AR Alizad-Rahvar via Ampère 2, Politecnico di Milano, Aula Rogers, Milan, Italy http://www2 …, 2013 | | 2013 |
THE COUPLING SPECTRUM: A NEW METHOD FOR DETECTING TEMPORAL NONLINEAR CAUSALITY IN FINANCIAL TIME SERIES AR Alizad-Rahvar, M Ardakani, I Cribben THE 7th INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2013 | | 2013 |