Applying Self-Organizing Map in Clustering Protein Phosphorylation Sequence Data
碩士 === 長庚大學 === 資訊管理學系 === 98 === The analysis of the surrounding sequences of protein phosphorylation sites is a very important topic in the protein and biology related research. However, the current data mining techniques applied on protein phosphorylation sites research mostly focus on building...
Main Authors: | Pei Ling Chung, 鍾佩陵 |
---|---|
Other Authors: | C. H. Chen |
Format: | Others |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/17423003007788194328 |
Similar Items
-
Clustering Analysis of Protein Phosphorylation Sequence by GHSOM
by: Kuo Sheng Lien, et al.
Published: (2010) -
The Modified Self-Organizing Map Neural Network Applied To The Discrete Data Clustering
by: Cheng,Chia-Hsin, et al.
Published: (2012) -
Clustering of Self-Organizing Map on Mixed Data
by: Sheng-Hsuan Wang, et al.
Published: (2005) -
A Visualization System for Hierarchical Clustering of Protein Phosphorylation Sequences
by: Kai Yi Hsu, et al.
Published: (2011) -
A Visualization System for Cluster Analysis of Protein Phosphorylation Sequences
by: Shuai Tseng, et al.
Published: (2012)