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Georg Seelig
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2020 – today
- 2022
- [j6]Shunfu Mao
, Yue Zhang
CellMeSH: probabilistic cell-type identification using indexed literature. Bioinform. 38(5): 1393-1402 (2022) - [j5]Johannes Linder
Interpreting neural networks for biological sequences by learning stochastic masks. Nat. Mach. Intell. 4(1): 41-54 (2022) - 2021
- [j4]Johannes Linder
Fast activation maximization for molecular sequence design. BMC Bioinform. 22(1): 510 (2021) - [c14]Johannes Linder, Yuan-Jyue Chen, David Wong
Robust Digital Molecular Design of Binarized Neural Networks. DNA 2021: 1:1-1:20 - 2020
- [i1]Johannes Linder, Georg Seelig:
Fast differentiable DNA and protein sequence optimization for molecular design. CoRR abs/2005.11275 (2020)
2010 – 2019
- 2019
- [j3]Douglas M. Carmean, Luis Ceze
DNA Data Storage and Hybrid Molecular-Electronic Computing. Proc. IEEE 107(1): 63-72 (2019) - [c13]Gokul Gowri
Combined Amplification and Molecular Classification for Gene Expression Diagnostics. DNA 2019: 159-173 - 2018
- [j2]Sumit Mukherjee, Yue Zhang
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. Bioinform. 34(13): i124-i132 (2018) - [c12]Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig:
Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. CDC 2018: 4353-4359 - [c11]Kendall Stewart, Yuan-Jyue Chen, David Ward, Xiaomeng Liu, Georg Seelig, Karin Strauss, Luis Ceze:
A Content-Addressable DNA Database with Learned Sequence Encodings. DNA 2018: 55-70 - [c10]Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee:
Identifying progressive gene network perturbation from single-cell RNA-seq data. EMBC 2018: 5034-5040 - 2017
- [j1]James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss:
Toward a DNA-Based Archival Storage System. IEEE Micro 37(3): 98-104 (2017) - [c9]Sherry Xi Chen, Georg Seelig:
A DNA Neural Network Constructed from Molecular Variable Gain Amplifiers. DNA 2017: 110-121 - 2016
- [c8]James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss:
A DNA-Based Archival Storage System. ASPLOS 2016: 637-649 - 2015
- [c7]Jonathan Barone, Colin Bayer, Rowan Copley, Nova Barlow, Matthew Burns, Sundipta Rao, Georg Seelig, Zoran Popovic, Seth Cooper:
Nanocrafter: Design and Evaluation of a DNA Nanotechnology Game. FDG 2015 - 2014
- [c6]Neil Dalchau, Georg Seelig, Andrew Phillips:
Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks. DNA 2014: 84-99 - 2013
- [c5]Richard A. Muscat, Karin Strauss, Luis Ceze, Georg Seelig:
DNA-based molecular architecture with spatially localized components. ISCA 2013: 177-188 - 2010
- [c4]David Yu Zhang, Georg Seelig:
DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits. DNA 2010: 176-186
2000 – 2009
- 2009
- [c3]Georg Seelig, David Soloveichik:
Time-Complexity of Multilayered DNA Strand Displacement Circuits. DNA 2009: 144-153 - 2008
- [c2]David Soloveichik, Georg Seelig, Erik Winfree
DNA as a Universal Substrate for Chemical Kinetics. DNA 2008: 57-69 - 2004
- [c1]Georg Seelig, Bernard Yurke, Erik Winfree
DNA Hybridization Catalysts and Catalyst Circuits. DNA 2004: 329-343
Coauthor Index
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