Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model.

Aggarwal, Abhishek; Vinayak, Vinayak; Bag, Saientan; Bhattacharyya, Chiranjib; Waghmare, Umesh V; Maiti, Prabal K

Aggarwal, Abhishek; Vinayak, Vinayak; Bag, Saientan; Bhattacharyya, Chiranjib; Waghmare, Umesh V; Maiti, Prabal K.

Afiliación

Aggarwal A; Center for Condensed Matter Theory, Department of Physics, Indian Institute of Science, Bangalore 560012, India.
Vinayak V; Undergraduate Program, Indian Institute of Science, Bangalore 560012, India.
Bag S; Center for Condensed Matter Theory, Department of Physics, Indian Institute of Science, Bangalore 560012, India.
Bhattacharyya C; Department of Computer Science and Automation, Indian Institute of Science, Bangalore 560012, India.
Waghmare UV; Theoretical Sciences Unit, Jawaharlal Nehru Center for Advanced Scientific Research, Jakkur P.O., Bangalore 560064, India.
Maiti PK; Center for Condensed Matter Theory, Department of Physics, Indian Institute of Science, Bangalore 560012, India.

J Chem Inf Model ; 61(1): 106-114, 2021 01 25.

Article en En | MEDLINE | ID: mdl-33320660

Asunto(s)

ADN; Redes Neurales de la Computación; Emparejamiento Base; Electrónica; Aprendizaje Automático

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ADN / Redes Neurales de la Computación Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2021 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

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