Lecture Notes in Computer Science - DNA Computing and Molecular Programming
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Published By Springer International Publishing

9783030268060, 9783030268077
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scholarly journals A Reaction Network Scheme Which Implements Inference and Learning for Hidden Markov Models

2019 ◽  
pp. 54-79
Author(s):  
Abhinav Singh ◽  
Carsten Wiuf ◽  
Abhishek Behera ◽  
Manoj Gopalkrishnan
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Reaction Network

scholarly journals Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly

2019 ◽  
pp. 140-158
Author(s):  
John Calvin Alumbaugh ◽  
Joshua J. Daymude ◽  
Erik D. Demaine ◽  
Matthew J. Patitz ◽  
Andréa W. Richa
Keyword(s):  
Self Assembly ◽  
Programmable Matter

Implementing Arbitrary CRNs Using Strand Displacing Polymerase

2019 ◽  
pp. 21-36
Author(s):  
Shalin Shah ◽  
Tianqi Song ◽  
Xin Song ◽  
Ming Yang ◽  
John Reif

Non-cooperatively Assembling Large Structures

2019 ◽  
pp. 120-139
Author(s):  
Pierre-Étienne Meunier ◽  
Damien Regnault
Keyword(s):  
Large Structures

Efficient Parameter Estimation for DNA Kinetics Modeled as Continuous-Time Markov Chains

2019 ◽  
pp. 80-99
Author(s):  
Sedigheh Zolaktaf ◽  
Frits Dannenberg ◽  
Erik Winfree ◽  
Alexandre Bouchard-Côté ◽  
Mark Schmidt ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Markov Chains ◽  
Continuous Time ◽  
Continuous Time Markov Chains

Reversible Computation Using Swap Reactions on a Surface

2019 ◽  
pp. 174-196
Author(s):  
Tatiana Brailovskaya ◽  
Gokul Gowri ◽  
Sean Yu ◽  
Erik Winfree
Keyword(s):  
Reversible Computation
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