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» Clustering of Gene Expression Data: Performance and Similari...
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
BMCBI
2008
166views more  BMCBI 2008»
14 years 9 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
JBI
2006
107views Bioinformatics» more  JBI 2006»
14 years 9 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
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CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
BMCBI
2008
170views more  BMCBI 2008»
14 years 9 months ago
Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
Tao Xu, LinFang Du, Yan Zhou