Identification of optimal classification functions for biological sample and state discrimination from metabolic profiling data

Motivations: Classification of biological samples for diagnostic purposes is a difficult task because of the many decisions involved on the number, type and functional manipulations of the input variables. This study presents a generally applicable strategy for systematic formulation of optimal diag...

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Veröffentlicht in:Bioinformatics 2004-04, Vol.20 (6), p.959-969
Hauptverfasser: Lee, Kyongbum, Hwang, Daehee, Yokoyama, Tadaaki, Stephanopoulos, George, Stephanopoulos, Gregory N., Yarmush, Martin L.
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Sprache:eng
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