Name
Abstract | ||
|---|---|---|
Flow has been widely used for the diagnosis of various diseases. We proposed an automated gating approach to analyze and cluster flow data and provide researchers and physicians a 3-D way of viewing flow data. This automated approach was designed to give reproducible results, which avoid the subjective and time-consuming human manipulation. Doublets problem will be eliminated by our tool, and the result were compared with the manual gating. In addition, a 3D visualization will not only give a user-friendly representation but also avert misclassification would occur in lower dimension. We demonstrated how the 3D approach can be used to augment the K-means method in classifying the data. To validate the feasibility of our proposed automatic approach, our result is compared with the result done at the Methodist Hospital in Houston. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BIBE.2009.20 | BIBE |
Keywords | Field | DocType |
reproducible result,time-consuming human manipulation,manual gating,multidimensional flow cytometry data,biomedical measurement,classifying thedata,k-means method,multidimensional flow cytometry data classification,automated approach,proposed automatic approach,flow visualisation,cluster flowdata,automated gating approach,3d visualization,hematopoietic diseases,methodist hospital,doublets problem,haemodynamics,blood,data analysis,fluorescence,k means,flow cytometry,scattering parameters,multidimensional systems,data visualization,clustering algorithms | Data mining,Data visualization,Gating,Visualization,Computer science,Artificial intelligence,Bioinformatics,Data classification,Cluster analysis,Flow visualization,Machine learning | Conference |
ISSN | ISBN | Citations |
2471-7819 | 978-0-7695-3656-9 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Chih Shih | 1 | 22 | 2.06 |
| Shou-hsuan Stephen Huang | 2 | 174 | 59.88 |
| Chung-Che Jeff Chang | 3 | 37 | 2.46 |