Sciweavers

373 search results - page 32 / 75
» Algorithmic and Complexity Issues of Three Clustering Method...
Sort
View
ICML
2006
IEEE
14 years 8 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...
BIOINFORMATICS
2010
170views more  BIOINFORMATICS 2010»
13 years 7 months ago
Joint estimation of DNA copy number from multiple platforms
DNA copy number variants (CNV) are gains and losses of segments of chromosomes, and comprise an important class of genetic variation. Recently, various microarray hybridization ba...
Nancy R. Zhang, Yasin Senbabaoglu, Jun Z. Li
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
Harshlight: a "corrective make-up" program for microarray chips
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Maurizio Pelle...