RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

The limited availability of high-resolution 3D RNA structures for model training limits RNA secondary structure prediction. Here, the authors overcome this challenge by pre-training a DNN on a large set of predicted RNA structures and using transfer learning with high-resolution structures.

Guardado en:

Detalles Bibliográficos
Autores principales:	Jaswinder Singh, Jack Hanson, Kuldip Paliwal, Yaoqi Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/90cc291b0b6b40a7a04fcac4f370cd90
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:90cc291b0b6b40a7a04fcac4f370cd90
record_format	dspace
spelling	oai:doaj.org-article:90cc291b0b6b40a7a04fcac4f370cd902021-12-02T14:38:40ZRNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning10.1038/s41467-019-13395-92041-1723https://doaj.org/article/90cc291b0b6b40a7a04fcac4f370cd902019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13395-9https://doaj.org/toc/2041-1723The limited availability of high-resolution 3D RNA structures for model training limits RNA secondary structure prediction. Here, the authors overcome this challenge by pre-training a DNN on a large set of predicted RNA structures and using transfer learning with high-resolution structures.Jaswinder SinghJack HansonKuldip PaliwalYaoqi ZhouNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jaswinder Singh Jack Hanson Kuldip Paliwal Yaoqi Zhou RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
description	The limited availability of high-resolution 3D RNA structures for model training limits RNA secondary structure prediction. Here, the authors overcome this challenge by pre-training a DNN on a large set of predicted RNA structures and using transfer learning with high-resolution structures.
format	article
author	Jaswinder Singh Jack Hanson Kuldip Paliwal Yaoqi Zhou
author_facet	Jaswinder Singh Jack Hanson Kuldip Paliwal Yaoqi Zhou
author_sort	Jaswinder Singh
title	RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
title_short	RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
title_full	RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
title_fullStr	RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
title_full_unstemmed	RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
title_sort	rna secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/90cc291b0b6b40a7a04fcac4f370cd90
work_keys_str_mv	AT jaswindersingh rnasecondarystructurepredictionusinganensembleoftwodimensionaldeepneuralnetworksandtransferlearning AT jackhanson rnasecondarystructurepredictionusinganensembleoftwodimensionaldeepneuralnetworksandtransferlearning AT kuldippaliwal rnasecondarystructurepredictionusinganensembleoftwodimensionaldeepneuralnetworksandtransferlearning AT yaoqizhou rnasecondarystructurepredictionusinganensembleoftwodimensionaldeepneuralnetworksandtransferlearning
_version_	1718390907804319744

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Ejemplares similares