Visualization of Protein Structure Relationships Using Twin Kernel Embedding
In this paper, a recently proposed dimensionality reduction method called Twin Kernel Embedaing (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.
dimensionality reduction TKE protein
Yi Guo Junbin Gao Paul W.Kwan Kevin X.Hou
School of Math, Stat.& Computer Science,University of New England School of Computer Science, Charles Sturt University School of Biological,Biomedical and Molecular Sciences University of New England
国际会议
武汉
英文
3-6
2007-07-06（万方平台首次上网日期，不代表论文的发表时间）