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» Clustering Genes Using Heterogeneous Data Sources
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129
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IJPP
2008
158views more  IJPP 2008»
15 years 1 months ago
The ParTriCluster Algorithm for Gene Expression Analysis
Analyzing gene expression patterns is becoming a highly relevant task in the Bioinformatics area. This analysis makes it possible to determine the behavior patterns of genes under...
Renata Braga Araújo, Guilherme Henrique Tri...
112
Voted
DCOSS
2007
Springer
15 years 8 months ago
A Semantics-Based Middleware for Utilizing Heterogeneous Sensor Networks
With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
115
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 2 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
103
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BIOSYSTEMS
2008
75views more  BIOSYSTEMS 2008»
15 years 2 months ago
Using matrix of thresholding partial correlation coefficients to infer regulatory network
DNA arrays measure the expression levels for thousands of genes simultaneously under different conditions. These measurements reflect many aspects of the underlying biological pro...
Lide Han, Jun Zhu
135
Voted
BMCBI
2008
128views more  BMCBI 2008»
15 years 2 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...