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HIS
2008
13 years 6 months ago
Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is th...
Carles Pous, Dani Caballero, Beatriz López
DATASCIENCE
2002
84views more  DATASCIENCE 2002»
13 years 5 months ago
The application of Principal Component Analysis to materials science data
The relationship between apparently disparate sets of data is a critical component of interpreting materials' behavior, especially in terms of assessing the impact of the mic...
Changwon Suh, Arun Rajagopalan, Xiang Li, Krishna ...
ISBI
2006
IEEE
14 years 6 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
BMCBI
2008
95views more  BMCBI 2008»
13 years 5 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
BMCBI
2005
201views more  BMCBI 2005»
13 years 5 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota