Solid-State Nanopore Platform Integrated with Machine Learning for Digital Diagnosis of Virus Infection-Reference-Cited by-同舟云学术

Solid-State Nanopore Platform Integrated with Machine Learning for Digital Diagnosis of Virus Infection

Published:2020-11-30 Issue:1 Volume:93 Page:215-227
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Arima Akihide¹^ORCID,Tsutsui Makusu²,Washio Takashi²^ORCID,Baba Yoshinobu¹³⁴,Kawai Tomoji²

Affiliation:

1. Department of Biomolecular Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan

2. The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan

3. Institute of Nano-Life-Systems, Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan

4. Institute of Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Anagawa 4-9-1, Inage-ku, Chiba 263-8555, Japan

Funder

Japan Society for the Promotion of Science

ImPACT Program of the Council for Science, Technology, and Innovation (Cabinet Office, Government of Japan?

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c04353

Reference104 articles.

1. Poxvirus Viability and Signatures in Historical Relics

2. The embryonic beginning of virology: unbiased thinking and dogmatic stagnation

3. Polymerase Chain Reaction

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