Roozbeh Dehghannasiri
Roozbeh Dehghannasiri
Postdoctoral Research Fellow, Stanford University
Verified email at - Homepage
Cited by
Cited by
The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans
Tabula Sapiens Consortium
Science 376 (6594), eabl4896, 2022
Optimal experimental design for materials discovery
R Dehghannasiri, D Xue, PV Balachandran, MR Yousefi, LA Dalton, ...
Computational Materials Science 129, 311-322, 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
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
Efficient experimental design for uncertainty reduction in gene regulatory networks
R Dehghannasiri, BJ Yoon, ER Dougherty
BMC bioinformatics 16 (13), 1-18, 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
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
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
Cell types of origin of the cell-free transcriptome
SK Vorperian, MN Moufarrej, TS Consortium, SR Quake
Nature Biotechnology, 1-7, 2022
Intrinsically bayesian robust Karhunen-Loève compression
R Dehghannasiri, X Qian, ER Dougherty
Signal Processing 144, 311-322, 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
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
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
Specific splice junction detection in single cells with SICILIAN
R Dehghannasiri, JE Olivieri, A Damljanovic, J Salzman
Genome biology 22 (1), 1-13, 2021
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
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
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
Ambiguous splice sites distinguish circRNA and linear splicing in the human genome
R Dehghannasiri, L Szabo, J Salzman
Bioinformatics 35 (8), 1263-1268, 2019
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
Optimal experimental design in the context of canonical expansions
R Dehghannasiri, X Qian, ER Dougherty
IET Signal Processing 11 (8), 942-951, 2017
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