Multidimensional analysis, dimension reduction, categorization with statistical approach - stability and reproducibility
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Multidimensional analysis, dimension reduction, categorization with statistical approach - stability and reproducibility

1. Multidimensional analysis, dimension reduction, categorization with statistical approach - stability and reproducibility

Karpenko Dmitriy Vladimirovich
National Medical Research Center for Hematology, Moscow, Russian Federation
Scientist of Laboratory of physiology of hematopoiesis
Moscow Institute of Physics and Technology
Master of applied physics and mathematics (2007)

2.

Medical data
Peculiarities :
• multiple parameters
• sparse data sets
• mosaic data
• fragmentary data
• misleading conventions
• individual cases
Aims :
• determine parameters distinguishing groups
• predict affiliation of new element
• testify individual hypotheses

3.

Normal distribution
sparse data sets
P
Schematic picture
δ
P=
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