A Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel Electrophoresis | Science Publications

Journal of Computer Science

Gary D. Boetticher¹  Hisham Al-Mubaid¹  Karen Frasier-Scott¹ 

关键词: Support Vector Machine;    2D Gel Electrophoresis;    Protein Spot Detection;   

DOI  :  10.3844/jcssp.2005.355.362

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis remains the coreof proteomic technology because it is currently the most powerful method to analyze large collectionsof proteins. Advances in electrophoresis equipment are making this technique more accessible buteffective computer assisted protein spot detection remains a very labor-intensive endeavor. Proteinspot analysis is still time consuming, requires human intervention and is in need of furtherdevelopment. This study explores a technique of recursively applying a Support Vector Machine(SVM) in identifying protein. An SVM is a powerful learner capable of optimizing differencesbetween classes. In this context the different classes correspond to the presence/absence of a protein.Different experiments are conducted to assess these differences in class formation in the context of anormal image and a highly saturated image.

【 授权许可】

Unknown