ProteinUnet —An efficient alternative to SPIDER3‐single for sequence‐based prediction of protein secondary structures

Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach

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Deep learning for Electroencephalogram (EEG) classification tasks: A review

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Protein secondary structure prediction using neural networks and deep learning: A review

(2019) Wafaa Wardah et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Protein Secondary Structure Prediction: A Review of Progress and Directions

(2019) Tomasz Smolarczyk et al.   Current Bioinformatics

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

(2019) Andrew W. Senior et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

(2019) Jakub Nalepa et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

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Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning

(2018) Rhys Heffernan et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Protein secondary structure prediction: A survey of the state of the art

(2017) Qian Jiang et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Protein structure determination using metagenome sequence data

(2017) Sergey Ovchinnikov et al.   SCIENCE

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

(2011) Michael Remmert et al.   NATURE METHODS

Biopython: freely available Python tools for computational molecular biology and bioinformatics

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