A machine learning approach for accurate and real-time DNA sequence identification.

Wang, Yiren; Alangari, Mashari; Hihath, Joshua; Das, Arindam K; Anantram, M P

Wang, Yiren; Alangari, Mashari; Hihath, Joshua; Das, Arindam K; Anantram, M P.

Afiliación

Wang Y; Department of Electrical and Computer Engineering, University of Washington, 98195, Seattle, WA, USA. ethanwyr@uw.edu.
Alangari M; Electrical and Computer Engineering Department, University of California Davis, 95616, Davis, CA, USA.
Hihath J; Electrical and Computer Engineering Department, University of California Davis, 95616, Davis, CA, USA.
Das AK; Department of Electrical Engineering, Eastern Washington University, 99004, Cheney, WA, USA.
Anantram MP; Department of Electrical and Computer Engineering, University of Washington, 98195, Seattle, WA, USA. anantmp@uw.edu.

BMC Genomics ; 22(1): 525, 2021 Jul 09.

Article en En | MEDLINE | ID: mdl-34243709

Asunto(s)

ADN; Aprendizaje Automático; Secuencia de Bases; ADN/genética

Palabras clave

All-electrical detection; Conductance probability distribution; DNA sequence identification; Machine learning; Single Molecule Break Junction

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: ADN / Aprendizaje Automático Tipo de estudio: Diagnostic_studies Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2021 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google