Convolutional neural networks with image representation of amino acid sequences for protein function prediction

Author:

Sara Samia Tasnim,Hasan Md Mehedi,Ahmad Ahsan,Shatabda SwakkharORCID

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference41 articles.

1. Effective dna binding protein prediction by using key features via Chou’s general pseaac;Adilina;J. Theoret. Biol.,2019

2. Cnn model with Hilbert curve representation of dna sequence for enhancer prediction;Anjum;bioRxiv,2019

3. Continuous distributed representation of biological sequences for deep proteomics and genomics;Asgari;PLOS ONE,2015

4. Deep learning of representations for unsupervised and transfer learning;Bengio;Proceedings of ICML Workshop on Unsupervised and Transfer Learning,2012

5. Enabling full-length evolutionary profiles based deep convolutional neural network for predicting dna-binding proteins from sequence;Chauhan;Proteins Struct. Funct. Bioinformatics,2020

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