Guo, Yi

Gao, Junbin

Kwan, Paul Hing

Hou, Kevin

2007

In this paper, a recently proposed dimensionality reduction method called twin kernel embedding (TKE) is applied in 2-dimensional visualization of protein structure relationships. By matching the similarity measures of the input and the embedding spaces expressed by their respective kernels, TKE ensures that both local and global proximity information are preserved simultaneously. Experiments conducted on a subset of the structural classification of protein (SCOP) database confirmed the effectiveness of TKE in preserving the original relationships among protein structures in the lower dimensional embedding according to their similarities. This result is expected to benefit subsequent analyses of protein structures and their functions.

Proceedings of the First International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2007), p. 1-4

1424411203

https://hdl.handle.net/1959.11/4586

Institute of Electrical and Electronics Engineers (IEEE)

Visualization of Protein Structure Relationships Using Twin Kernel Embedding

Conference Publication

Publication