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» Multivariate Information Bottleneck
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VDA
2010
206views Visualization» more  VDA 2010»
15 years 4 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
CIKM
2009
Springer
15 years 8 months ago
Multivariate classification of urine metabolome profiles for breast cancer diagnosis
Background: Diagnosis techniques using urine are non-invasive, inexpensive, and easy to perform in clinical settings. The metabolites in urine, as the end products of cellular pro...
Younghoon Kim, Imhoi Koo, Byung Hwa Jung, Bong Chu...
BMCBI
2008
159views more  BMCBI 2008»
15 years 2 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
TMI
2008
162views more  TMI 2008»
15 years 1 months ago
Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors
Abstract--This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM). Statistics on Riemannian manifolds are developed that exploit the...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Ming...
BMCBI
2011
14 years 9 months ago
Multivariate analysis of microarray data: differential expression and differential connection
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
Harri T. Kiiveri