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» Algorithms for Finding Gene Clusters
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BMCBI
2008
128views more  BMCBI 2008»
15 years 3 months ago
Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sa
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a sign...
Cornelia Frömke, Ludwig A. Hothorn, Siegfried...
BMCBI
2011
14 years 6 months ago
FFCA: a feasibility-based method for flux coupling analysis of metabolic networks
Background: Flux coupling analysis (FCA) is a useful method for finding dependencies between fluxes of a metabolic network at steady-state. FCA classifies reactions into subsets (...
László Dávid, Sayed-Amir Mara...
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BIOINFORMATICS
2006
142views more  BIOINFORMATICS 2006»
15 years 3 months ago
Intervention in a family of Boolean networks
Motivation: Intervention in a gene regulatory network is used to avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied...
Ashish Choudhary, Aniruddha Datta, Michael L. Bitt...
BMCBI
2005
93views more  BMCBI 2005»
15 years 3 months ago
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis S
Background: Detection of Loss of Heterozygosity (LOH) is one of the most common molecular applications in the study of human diseases, in particular cancer. The technique is commo...
Rifat A. Hamoudi, Amina El-Hamidi, Ming-Qing Du
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 3 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...