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» Clustering Improves the Exploration of Graph Mining Results
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CIBCB
2006
IEEE
15 years 7 months ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...
JGAA
2007
124views more  JGAA 2007»
15 years 1 months ago
Simultaneous Border Segmentation of Doughnut-Shaped Objects in Medical Images
Image segmentation with specific constraints has found applications in several areas such as biomedical image analysis and data mining. In this paper, we study the problem of sim...
Xiaodong Wu, Michael B. Merickel
BMCBI
2004
150views more  BMCBI 2004»
15 years 1 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ADC
2007
Springer
145views Database» more  ADC 2007»
15 years 7 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
BMCBI
2010
104views more  BMCBI 2010»
14 years 8 months ago
A systematic study of genome context methods: calibration, normalization and combination
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
Luciana Ferrer, Joseph M. Dale, Peter D. Karp