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» Combining microarrays and genetic analysis
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ICDAR
2009
IEEE
14 years 4 months ago
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition
This paper describes a method of on-line handwritten Japanese text recognition by improved path evaluation. Based on a theoretical ground, the method evaluates the likelihood of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...
IJCNN
2007
IEEE
14 years 4 months ago
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
13 years 9 months ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
BMCBI
2004
114views more  BMCBI 2004»
13 years 9 months ago
Extending the mutual information measure to rank inferred literature relationships
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Jonathan D. Wren
BMCBI
2011
13 years 4 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...