Name
Title | ||
|---|---|---|
Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab |
Abstract | ||
|---|---|---|
In this paper, computational strategies are defined for protein quantitation by considering the shapes of the protein spots. The technique uses the clustering techniques like K-mean and fuzzy C-mean to distinguish between different types of protein spots and unwanted artifacts. The resulting technique is used in 2D Electrophoresis Gel Image Processor for Matlab with other image manipulation techniquies on the experimental data to evaluate its performance. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FBIT.2007.95 | Jeju City |
Keywords | DocType | ISBN |
computational strategies,fuzzy c-mean,resulting technique,computational strategy,clustering technique,image manipulation techniquies,experimental data,different type,protein quantitation,protein spot,electrophoresis gel image processor | Conference | 978-0-7695-2999-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Umer Zeeshan Ijaz | 1 | 19 | 3.15 |
| Safee Ullah Chaudhary | 2 | 1 | 2.12 |
| Moon Sang Don | 3 | 0 | 0.34 |
| Kyung Youn Kim | 4 | 5 | 3.67 |