Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier

Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier

Abstract Background Self-interacting proteins (SIPs), two or more copies of the protein that can interact with each other expressed by one gene, play a central role in the regulation of most living cells and cellular functions. Although numerous SIPs data can be provided by using high-throughput exp...

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Bibliographic Details
Main Authors: Yang Li, Xue-Gang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Bioinformatics
Subjects:
Self-interacting proteins
Protein sequence
Gray level co-occurrence matrix
Sparse representation
Online Access:https://doi.org/10.1186/s12859-022-04880-y

Internet

https://doi.org/10.1186/s12859-022-04880-y

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