Georg Seelig

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 14

Top Topics

Long Term Preservation

Noise Suppression

Top Venues

Publications

Shunfu Mao, Yue Zhang, Georg Seelig, Sreeram Kannan
CellMeSH: probabilistic cell-type identification using indexed literature. Bioinform. 38 (5) (2022)
Johannes Linder, Alyssa La Fleur, Zibo Chen, Ajasja Ljubetic, David Baker, Sreeram Kannan, Georg Seelig
Interpreting neural networks for biological sequences by learning stochastic masks. Nat. Mach. Intell. 4 (1) (2022)
Johannes Linder, Yuan-Jyue Chen, David Wong, Georg Seelig, Luis Ceze, Karin Strauss
Robust Digital Molecular Design of Binarized Neural Networks. DNA (2021)
Johannes Linder, Georg Seelig
Fast activation maximization for molecular sequence design. BMC Bioinform. 22 (1) (2021)
Johannes Linder, Georg Seelig
Fast differentiable DNA and protein sequence optimization for molecular design. CoRR (2020)
Gokul Gowri, Randolph Lopez, Georg Seelig
Combined Amplification and Molecular Classification for Gene Expression Diagnostics. DNA (2019)
Douglas M. Carmean, Luis Ceze, Georg Seelig, Kendall Stewart, Karin Strauss, Max Willsey
DNA Data Storage and Hybrid Molecular-Electronic Computing. Proc. IEEE 107 (1) (2019)
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)
Alberto Carignano, Sumit Mukherjee, Abhyudai Singh, Georg Seelig
Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. CDC (2018)
Sumit Mukherjee, Alberto Carignano, Georg Seelig, Su-In Lee
Identifying progressive gene network perturbation from single-cell RNA-seq data. EMBC (2018)
Sumit Mukherjee, Yue Zhang, Joshua Fan, Georg Seelig, Sreeram Kannan
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. Bioinform. 34 (13) (2018)
James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss
Toward a DNA-Based Archival Storage System. IEEE Micro 37 (3) (2017)
Sherry Xi Chen, Georg Seelig
A DNA Neural Network Constructed from Molecular Variable Gain Amplifiers. DNA (2017)
James Bornholt, Randolph Lopez, Douglas M. Carmean, Luis Ceze, Georg Seelig, Karin Strauss
A DNA-Based Archival Storage System. ASPLOS (2016)
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)
Neil Dalchau, Georg Seelig, Andrew Phillips
Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks. DNA (2014)
Richard A. Muscat, Karin Strauss, Luis Ceze, Georg Seelig
DNA-based molecular architecture with spatially localized components. ISCA (2013)
David Yu Zhang, Georg Seelig
DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits. DNA (2010)
Georg Seelig, David Soloveichik
Time-Complexity of Multilayered DNA Strand Displacement Circuits. DNA (2009)
David Soloveichik, Georg Seelig, Erik Winfree
DNA as a Universal Substrate for Chemical Kinetics. DNA (2008)
Georg Seelig, Bernard Yurke, Erik Winfree
DNA Hybridization Catalysts and Catalyst Circuits. DNA (2004)