Optimal experimental design for materials discovery R Dehghannasiri, D Xue, PV Balachandran, MR Yousefi, LA Dalton, ... Computational Materials Science 129, 311-322, 2017 | 67 | 2017 |
Optimal experimental design for gene regulatory networks in the presence of uncertainty R Dehghannasiri, BJ Yoon, ER Dougherty IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (4 …, 2014 | 56 | 2014 |
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans Tabula Sapiens Consortium Science 376 (6594), eabl4896, 2022 | 49* | 2022 |
Intrinsically Bayesian robust Kalman filter: An innovation process approach R Dehghannasiri, MS Esfahani, ER Dougherty IEEE Transactions on Signal Processing 65 (10), 2531-2546, 2017 | 42 | 2017 |
Efficient experimental design for uncertainty reduction in gene regulatory networks R Dehghannasiri, BJ Yoon, ER Dougherty BMC bioinformatics 16 (13), 1-18, 2015 | 31 | 2015 |
Optimal Bayesian Kalman filtering with prior update R Dehghannasiri, MS Esfahani, X Qian, ER Dougherty IEEE Transactions on Signal Processing 66 (8), 1982-1996, 2018 | 20 | 2018 |
Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers R Dehghannasiri, DE Freeman, M Jordanski, GL Hsieh, A Damljanovic, ... Proceedings of the National Academy of Sciences 116 (31), 15524-15533, 2019 | 18 | 2019 |
Sequential experimental design for optimal structural intervention in gene regulatory networks based on the mean objective cost of uncertainty M Imani, R Dehghannasiri, UM Braga-Neto, ER Dougherty Cancer informatics 17, 1176935118790247, 2018 | 15 | 2018 |
Intrinsically bayesian robust Karhunen-Loève compression R Dehghannasiri, X Qian, ER Dougherty Signal Processing 144, 311-322, 2018 | 13 | 2018 |
Optimal objective-based experimental design for uncertain dynamical gene networks with experimental error DN Mohsenizadeh*, R Dehghannasiri*, ER Dougherty IEEE/ACM transactions on computational biology and bioinformatics 15 (1 …, 2016 | 13 | 2016 |
A novel de-interlacing method based on locally-adaptive nonlocal-means R Dehghannasiri, S Shirani 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals …, 2012 | 10 | 2012 |
Specific splice junction detection in single cells with SICILIAN R Dehghannasiri, JE Olivieri, A Damljanovic, J Salzman Genome biology 22 (1), 1-13, 2021 | 9 | 2021 |
The SpliZ generalizes ‘Percent Spliced In’to reveal regulated splicing at single-cell resolution JE Olivieri*, R Dehghannasiri*, J Salzman Nature methods 19 (3), 307-310, 2022 | 6 | 2022 |
Cell types of origin of the cell-free transcriptome SK Vorperian, MN Moufarrej, TS Consortium, SR Quake Nature Biotechnology, 1-7, 2022 | 6* | 2022 |
Tabula Microcebus: A transcriptomic cell atlas of mouse lemur, an emerging primate model organism C Ezran, S Liu, S Chang, J Ming, O Botvinnik, L Penland, A Tarashansky, ... bioRxiv, 2021 | 6 | 2021 |
Ambiguous splice sites distinguish circRNA and linear splicing in the human genome R Dehghannasiri, L Szabo, J Salzman Bioinformatics 35 (8), 1263-1268, 2019 | 6 | 2019 |
A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics R Dehghannasiri, X Qian, ER Dougherty EURASIP Journal on Advances in Signal Processing 2018 (1), 1-17, 2018 | 6 | 2018 |
RNA splicing programs define tissue compartments and cell types at single-cell resolution JE Olivieri*, R Dehghannasiri*, PL Wang, SR Jang, A De Morree, SY Tan, ... Elife 10, e70692, 2021 | 5 | 2021 |
An experimental design framework for Markovian gene regulatory networks under stationary control policy R Dehghannasiri, M Shahrokh Esfahani, ER Dougherty BMC systems biology 12 (8), 5-20, 2018 | 5 | 2018 |
Optimal experimental design in the context of canonical expansions R Dehghannasiri, X Qian, ER Dougherty IET Signal Processing 11 (8), 942-951, 2017 | 5 | 2017 |