Name
Abstract | ||
|---|---|---|
Cell lines are widely used in translational biomedical research to study the genetic basis of diseases. A major approach for experimental disease modeling are genetic perturbation experiments that aim to trigger selected cellular disease states. In this type of experiments it is crucial to ensure that the targeted disease-related genes and pathways are intact in the used cell line. In this work we are developing a framework which integrates genetic sequence information and disease-specific network analysis for evaluating disease-specific cell line suitability. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-662-44983-7_26 | Studies in Classification Data Analysis and Knowledge Organization |
Keywords | Field | DocType |
text mining,translational research | Data mining,Disease,Text mining,Betweenness centrality,Network analysis,Engineering,Translational research | Conference |
ISSN | Citations | PageRank |
1431-8814 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Biryukov | 1 | 1 | 0.72 |
| Paul M. A. Antony | 2 | 0 | 0.68 |
| Abhimanyu Krishna | 3 | 0 | 0.34 |
| Patrick May | 4 | 0 | 0.68 |
| Christophe Trefois | 5 | 0 | 0.34 |