@inproceedings{95eb4de8a2a54d7d90c4978230513172,
title = "Acquiring and classifying signals from nanopores and ion-channels",
abstract = "The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselves to statistical analysis. As a result, processing of signals from these sensors is attracting a lot of attention. In this paper we demonstrate a neural network approach to classify and interpret nanopore and ion-channel signals.",
keywords = "Denoising using wavelets, Ion-channel sensors, Nanopore devices, PCA, Sensing using nanopores and neural networks, WHT",
author = "Bharatan Konnanath and Prasanna Sattigeri and Trupthi Mathew and Andreas Spanias and Shalini Prasad and Michael Goryll and Trevor Thornton and Peter Knee",
year = "2009",
doi = "10.1007/978-3-642-04277-5_27",
language = "English (US)",
isbn = "3642042767",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "265--274",
booktitle = "Artificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings",
edition = "PART 2",
note = "19th International Conference on Artificial Neural Networks, ICANN 2009 ; Conference date: 14-09-2009 Through 17-09-2009",
}