Name
Abstract | ||
|---|---|---|
All three methods have their own approach to estimate common and distinctive variation with their specific strength and weaknesses. Due to their orthogonality properties and their used algorithms their view on the data is slightly different. By assuming orthogonality between common and distinctive, true natural or biological phenomena that may not be orthogonal at all might be misinterpreted. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1037-2 | BMC Bioinformatics |
Keywords | Field | DocType |
DISCO,Integrated analysis,JIVE,Multiple data-sets,O2-PLS | Data set,Multiple data,Regression,Computer science,Latent variable,Bioinformatics,Component analysis,Mathematical properties,Principal component analysis,Residual noise | Journal |
Volume | Issue | ISSN |
17 | S-5 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frans M. van der Kloet | 1 | 0 | 0.34 |
| Patricia Sebastián-León | 2 | 50 | 2.61 |
| Ana Conesa | 3 | 364 | 24.48 |
| Age K Smilde | 4 | 176 | 16.49 |
| Johan A Westerhuis | 5 | 34 | 4.82 |