Stability of gene contributions and identification of outliers in multivariate analysis of microarray data |
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Authors: | Florent Baty Daniel Jaeger Frank Preiswerk Martin M Schumacher Martin H Brutsche |
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Institution: | (1) Pulmonary Gene Research, University Hospital Basel, Petersgraben 4, Basel, Switzerland;(2) Department of Computer Science, University of Basel, Klingelbergstrasse 50, Basel, Switzerland;(3) Biomarker Development, Novartis AG, Klybeckstrasse 141, Basel, Switzerland |
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Abstract: | Background Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data.
These methods have several advantages compared to common gene-by-gene approaches. However, due to their exploratory nature,
multivariate ordination methods do not allow direct statistical testing of the stability of genes. |
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