Nucleosome positioning based on DNA sequence embedding and deep learning
Abstract Background Nucleosome positioning is the precise determination of the location of nucleosomes on DNA sequence. With the continuous advancement of biotechnology and computer technology, biological data is showing explosive growth. It is of practical significance to develop an efficient nucle...
Main Authors: | Guo-Sheng Han, Qi Li, Ying Li |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-04-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12864-022-08508-6 |
Similar Items
-
DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network
by: Yiting Zhou, et al.
Published: (2022-10-01) -
Deep learning architectures for prediction of nucleosome positioning from sequences data
by: Mattia Di Gangi, et al.
Published: (2018-11-01) -
CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification
by: Domenico Amato, et al.
Published: (2020-09-01) -
Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms
by: Guo-Sheng Han, et al.
Published: (2021-06-01) -
Hybrid of Deep Learning and Word Embedding in Generating Captions: Image-Captioning Solution for Geological Rock Images
by: Agus Nursikuwagus, et al.
Published: (2022-10-01)