DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides

Nathaniel Lane; Indika Kahanda

doi:10.1007/978-3-030-54568-0_7

DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides

Nathaniel Lane
, Indika Kahanda

Producción científica: Conference contribution

Idioma original	English
Título de la publicación alojada	Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020
Editores	Gabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara
Páginas	60-69
Número de páginas	10
DOI	https://doi.org/10.1007/978-3-030-54568-0_7
Estado	Published - 2021
Publicado de forma externa	Sí
Evento	14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020 - L´Aquila, Italy Duración: jun 17 2020 → jun 19 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1240 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conference

Conference	14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020
País/Territorio	Italy
Ciudad	L´Aquila
Período	6/17/20 → 6/19/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Good health and well being

ASJC Scopus Subject Areas

Control and Systems Engineering
General Computer Science

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10.1007/978-3-030-54568-0_7

Otros archivos y enlaces

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Lane, N., & Kahanda, I. (2021). DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. En G. Panuccio, M. Rocha, F. Fdez-Riverola, M. S. Mohamad, & R. Casado-Vara (Eds.), Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020 (pp. 60-69). (Advances in Intelligent Systems and Computing; Vol. 1240 AISC). https://doi.org/10.1007/978-3-030-54568-0_7

DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. / Lane, Nathaniel; Kahanda, Indika.
Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020. ed. / Gabriella Panuccio; Miguel Rocha; Florentino Fdez-Riverola; Mohd Saberi Mohamad; Roberto Casado-Vara. 2021. p. 60-69 (Advances in Intelligent Systems and Computing; Vol. 1240 AISC).

Producción científica: Conference contribution

Lane, N & Kahanda, I 2021, DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. En G Panuccio, M Rocha, F Fdez-Riverola, MS Mohamad & R Casado-Vara (eds.), Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020. Advances in Intelligent Systems and Computing, vol. 1240 AISC, pp. 60-69, 14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020, L´Aquila, Italy, 6/17/20. https://doi.org/10.1007/978-3-030-54568-0_7

Lane N, Kahanda I. DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. En Panuccio G, Rocha M, Fdez-Riverola F, Mohamad MS, Casado-Vara R, editores, Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020. 2021. p. 60-69. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-54568-0_7

Lane, Nathaniel ; Kahanda, Indika. / DeepACPpred : A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. Practical Applications of Computational Biology and Bioinformatics, 14th International Conference, PACBB 2020. editor / Gabriella Panuccio ; Miguel Rocha ; Florentino Fdez-Riverola ; Mohd Saberi Mohamad ; Roberto Casado-Vara. 2021. pp. 60-69 (Advances in Intelligent Systems and Computing).

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keywords = "Anti-cancer Peptides, Convolutional Neural Networks, Recurrent Neural Networks",

author = "Nathaniel Lane and Indika Kahanda",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 14th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2020 ; Conference date: 17-06-2020 Through 19-06-2020",

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DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides

Serie de la publicación

Conference

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

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Huella

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