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» Classification of microarray data using gene networks
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IJCNN
2008
IEEE
15 years 10 months ago
Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data
Rui Xu, Steven Damelin, Donald C. Wunsch
BMCBI
2007
156views more  BMCBI 2007»
15 years 3 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
CIBCB
2006
IEEE
15 years 7 months ago
Efficient Probe Selection in Microarray Design
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
Leszek Gasieniec, Cindy Y. Li, Paul Sant, Prudence...
BMCBI
2006
123views more  BMCBI 2006»
15 years 3 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
BMCBI
2006
164views more  BMCBI 2006»
15 years 3 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta