Name
Abstract | ||
|---|---|---|
Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of the individual data sources in isolation. We argue in this paper that there is a need for applying an IF approach in bioinformatics research, since the aim of bioinformatics is to understand complex biological systems using many different data sources providing complementary views of the system. We illustrate this argument with two application examples, where IF-based bioinformatics is applied to the study of stem cell differentiation and lipid digestion, respectively. We also discuss the use of automated information extraction from text sources, which is an essential component of a bioinformatics IF approach, given the abundant literature. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CSBW.2005.22 | CSB Workshops |
Keywords | Field | DocType |
bioinformatics research,information fusion,information fusion approach,automated information extraction,abundant literature,complex system,different source,different data source,if-based bioinformatics,controlling complexity,complex biological system,individual data source,sensor fusion,stem cell,information extraction,biological systems | Data science,Cellular biophysics,Computer science,Sensor fusion,Information extraction,Lipid digestion,Artificial intelligence,Bioinformatics,Information fusion,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-2442-7 | 1 | 0.37 |
References | Authors | |
10 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bjorn Olsson | 1 | 48 | 4.40 |
| Barbara Gawronska | 2 | 14 | 5.54 |
| Tom Ziemke | 3 | 681 | 67.03 |
| Sten F. Andler | 4 | 232 | 15.83 |
| Patric Nilsson | 5 | 7 | 1.80 |
| Anne Persson | 6 | 67 | 5.59 |