In this work, we have developed a novel approach called Depicter based on deep capsule neural networks for identifying specific types of promoters (including ...
Jul 20, 2021 · We propose a deep learning-based method termed Depicter (Deep learning for predicting promoter), for identifying three specific types of promoters.
A convolutional neural network coupled with capsule layers is proposed to train and optimize the prediction model of Depicter. Extensive benchmarking and ...
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks ... Authors: Yan Zhu; Fuyi Li; Dongxu Xiang; Tatsuya Akutsu ...
TL;DR: A new approach to the prediction of eukaryotic PolII promoters from DNA sequence takes advantage of a combination of elements similar to neural networks ...
A variety of sequencing techniques have been developed for the identification and characterization of promoter sequences [14], including genomic sequencing ...
Mar 30, 2022 · In the present study, we combined the power of deep learning with a plethora of promoter motifs to delineate promoter and non-promoters gleaned ...
Oct 3, 2022 · In this study, we propose iPromoter-Seqvec – an efficient computational model to predict TATA and non-TATA promoters in human and mouse genomes ...
In this study, we proposed a new capsule network and recurrent neural network hybrid model to identify promoters and predict their strength.
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Zhu, Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks, Brief. Bioinforma., № 22, с. bbaa299 https://doi ...