Protein function prediction with gene ontology: from traditional to deep learning models
Protein function prediction is a crucial part of genome annotation. Prediction methods have recently witnessed rapid development, owing to the emergence of high-throughput sequencing technologies. Among the available databases for identifying protein function terms, Gene Ontology (GO) is an importan...
Main Authors: | Thi Thuy Duong Vu, Jaehee Jung |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-08-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/12019.pdf |
Similar Items
-
Assigning protein function from domain-function associations using DomFun
by: Elena Rojano, et al.
Published: (2022-01-01) -
A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature
by: Pratik Devkota, et al.
Published: (2022-09-01) -
The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction
by: Mansheng Li, et al.
Published: (2021-11-01) -
Gene Ontology Capsule GAN: an improved architecture for protein function prediction
by: Musadaq Mansoor, et al.
Published: (2022-08-01) -
Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods
by: Qinglan Ma, et al.
Published: (2023-05-01)