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» The ParTriCluster Algorithm for Gene Expression Analysis
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91
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BMCBI
2005
144views more  BMCBI 2005»
15 years 13 days ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...
CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
15 years 6 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...
113
Voted
BMCBI
2005
122views more  BMCBI 2005»
15 years 13 days ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
109
Voted
BMCBI
2007
185views more  BMCBI 2007»
15 years 19 days ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...
109
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 17 days ago
Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling
Background: It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular determinants that prope...
Xia Li, Shaoqi Rao, Wei Jiang, Chuanxing Li, Yun X...