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» Evaluation of clustering algorithms for gene expression data
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ISBI
2007
IEEE
16 years 23 days ago
Automatic Segmentation of Nuclei in 3d Microscopy Images of C.Elegans
Automatic segmentation of nuclei in 3D microscopy images is essential for many biological studies including high throughput analysis of gene expression level, morphology, and phen...
Fuhui Long, Hanchuan Peng, Eugene W. Myers
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
16 years 1 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
MLDM
2005
Springer
15 years 12 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 1 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
RECOMB
2001
Springer
15 years 11 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald