Deep Learning of Nanopore Sensing Signals Using a Bi-Path Network-Reference-Cited by-同舟云学术

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Deep Learning of Nanopore Sensing Signals Using a Bi-Path Network

Published:2021-08-17 Issue:9 Volume:15 Page:14419-14429
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Dematties Dario¹^ORCID,Wen Chenyu²^ORCID,Pérez Mauricio David²,Zhou Dian³,Zhang Shi-Li²^ORCID

Affiliation:

1. Instituto de Ciencias Humanas, Sociales y Ambientales CONICET Mendoza Technological Scientific Center, Mendoza M5500, Argentina

2. Division of Solid-State Electronics, Department of Electrical Engineering, Uppsala University, SE-751 03 Uppsala, Sweden

3. Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States

Funder

Stiftelsen Olle Engkvist Byggm??stare

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.1c03842

Reference45 articles.

1. Improved data analysis for the MinION nanopore sequencer

2. Real-time shape approximation and fingerprinting of single proteins using a nanopore

3. In Situ Synthetic Functionalization of a Transmembrane Protein Nanopore

4. Nanoparticle Transport in Conical-Shaped Nanopores

5. Fundamentals and potentials of solid-state nanopores: a review

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