Dong Si
Cited by
Cited by
Parkinson’s disease diagnosis using machine learning and voice
TJ Wroge, Y Özkanca, C Demiroglu, D Si, DC Atkins, RH Ghomi
2018 IEEE signal processing in medicine and biology symposium (SPMB), 1-7, 2018
DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes
J Pfab, NM Phan, D Si
Proceedings of the National Academy of Sciences 118 (2), e2017525118, 2021
A machine learning approach for the identification of protein secondary structure elements from electron cryo‐microscopy density maps
D Si, S Ji, KA Nasr, J He
Biopolymers 97 (9), 698-708, 2012
Deep learning to predict protein backbone structure from high-resolution cryo-EM density maps
D Si, SA Moritz, J Pfab, J Hou, R Cao, L Wang, T Wu, J Cheng
Scientific reports 10 (1), 4282, 2020
Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge
CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ...
Nature methods 18 (2), 156-164, 2021
Deep convolutional neural networks for detecting secondary structures in protein density maps from cryo-electron microscopy
R Li, D Si, T Zeng, S Ji, J He
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
Structural insights into Ubr1-mediated N-degron polyubiquitination
M Pan, Q Zheng, T Wang, L Liang, J Mao, C Zuo, R Ding, H Ai, Y Xie, D Si, ...
Nature 600 (7888), 334-338, 2021
Beta-sheet detection and representation from medium resolution cryo-EM density maps
D Si, J He
Proceedings of the International Conference on Bioinformatics, Computational …, 2013
Tracing beta strands using StrandTwister from cryo-EM density maps at medium resolutions
D Si, J He
Structure 22 (11), 1665-1676, 2014
Cryo-EM structure of an extracellular Geobacter OmcE cytochrome filament reveals tetrahaem packing
F Wang, K Mustafa, V Suciu, K Joshi, CH Chan, S Choi, Z Su, D Si, ...
Nature Microbiology 7 (8), 1291-1300, 2022
AngularQA: protein model quality assessment with LSTM networks
M Conover, M Staples, D Si, M Sun, R Cao
Computational and Mathematical Biophysics 7 (1), 1-9, 2019
Deep learning for validating and estimating resolution of cryo-electron microscopy density maps
TK Avramov, D Vyenielo, J Gomez-Blanco, S Adinarayanan, J Vargas, ...
Molecules 24 (6), 1181, 2019
Prediction of injuries and fatalities in aviation accidents through machine learning
RA Burnett, D Si
Proceedings of the International Conference on Compute and Data Analysis, 60-68, 2017
Building the initial chain of the proteins through de novo modeling of the cryo-electron microscopy volume data at the medium resolutions
K Al Nasr, L Chen, D Si, D Ranjan, M Zubair, J He
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
DeepTracer-ID: De novo protein identification from cryo-EM maps
L Chang, F Wang, K Connolly, H Meng, Z Su, V Cvirkaite-Krupovic, ...
Biophysical Journal 121 (15), 2840-2848, 2022
Comparison of deep learning approaches to low dose CT using low intensity and sparse view data
T Humphries, D Si, S Coulter, M Simms, R Xing
Medical imaging 2019: physics of medical imaging 10948, 1048-1054, 2019
Structure of Geobacter OmcZ filaments suggests extracellular cytochrome polymers evolved independently multiple times
F Wang, CH Chan, V Suciu, K Mustafa, M Ammend, D Si, AI Hochbaum, ...
Elife 11, e81551, 2022
Cancer type prediction and classification based on rna-sequencing data
YH Hsu, D Si
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
A Raspberry Pi-based traumatic brain injury detection system for single-channel electroencephalogram
NS Dhillon, A Sutandi, M Vishwanath, MM Lim, H Cao, D Si
Sensors 21 (8), 2779, 2021
A wizard-of-oz interface and persona-based methodology for collecting health counseling dialog
WR Kearns, N Kaura, M Divina, C Vo, D Si, T Ward, W Yuwen
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
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