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ISMIS
2005
Springer
15 years 9 months ago
A Data Model Based on Paraconsistent Intuitionistic Fuzzy Relations
Abstract. Paraconsistent intuitionistic fuzzy set is an extension of intuitionistic fuzzy set or interval-valued fuzzy set. It relaxes the requirement that t + f ≤ 1, where t is ...
Haibin Wang, Rajshekhar Sunderraman
136
Voted
BMCBI
2008
154views more  BMCBI 2008»
15 years 3 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
140
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SADM
2010
141views more  SADM 2010»
14 years 10 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
BMCBI
2007
106views more  BMCBI 2007»
15 years 3 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...
139
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DLOG
2008
15 years 6 months ago
Essential and Mandatory Part-Whole Relations in Conceptual Data Models
A recurring problem in conceptual modelling and ontology development is the representation of part-whole relations, with a requirement to be able to distinguish between essential a...
Alessandro Artale, C. Maria Keet