RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences
Protein-Protein Interactions (PPIs) play essential roles in most cellular processes. Knowledge of PPIs is becoming increasingly more important, which has prompted the development of technologies that are capable of discovering large-scale PPIs. Although many high-throughput biological technologies h...
Main Authors: | Ji-Yong An, Zhu-Hong You, Fan-Rong Meng, Shu-Juan Xu, Yin Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-05-01
|
Series: | International Journal of Molecular Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/1422-0067/17/5/757 |
Similar Items
-
Predicting Protein–Protein Interactions Based on Ensemble Learning-Based Model from Protein Sequence
by: Xinke Zhan, et al.
Published: (2022-06-01) -
The Average Eccentricity of Block Graphs: A Block Order Sequence Perspective
by: Xingfu Li, et al.
Published: (2022-03-01) -
A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
by: Zhe Yang, et al.
Published: (2018-08-01) -
DPI_CDF: druggable protein identifier using cascade deep forest
by: Muhammad Arif, et al.
Published: (2024-04-01) -
Study of the mutation causing type 1 polysaccharide storage myopathy in a Mangalarga Marchador population used in breeding programs
by: Nayne Vieira da Silva, et al.
Published: (2023-06-01)