DeepETC: a deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
An electron transport chain is a series of protein complexes embedded in the transport protein, which is an important process to transfer electrons and other macromolecules throughout the cell. It is the primary process to extract energy via redox reactions in the case of oxidation of sugars in cell...
Saved in:
Main Authors: | Le, Nguyen Quoc Khanh, Ho, Quang-Thai, Yapp, Edward Kien Yee, Ou, Yu-Yen, Yeh, Hui-Yuan |
---|---|
Other Authors: | School of Humanities |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160971 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
ET-GRU : using multi-layer gated recurrent units to identify electron transport proteins
by: Le, Nguyen Quoc Khanh, et al.
Published: (2019) -
EFFICIENT DEEP CONVOLUTIONAL ARCHITECTURES FOR IMAGE AND VIDEO REPRESENTATION LEARNING
by: CHEN YUNPENG
Published: (2019) -
Classifying promoters by interpreting the hidden information of DNA sequences via deep learning and combination of continuous FastText N-grams
by: Le, Nguyen Quoc Khanh, et al.
Published: (2020) -
Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture
by: Le, Nguyen Quoc Khanh, et al.
Published: (2020) -
EFFICIENT ARCHITECTURE DESIGN FOR DEEP NEURAL NETWORKS
by: ZHOU DAQUAN
Published: (2022)