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» Memetic Algorithms for Feature Selection on Microarray Data
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BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
BMCBI
2010
139views more  BMCBI 2010»
13 years 7 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
JCIT
2010
184views more  JCIT 2010»
13 years 2 months ago
A Cell Projection Algorithm Based on Feature Region Segmentation and Cells Sorting
Because of the complexity of the human structure, and the irregularity of the human tissues, and the discrepancy of human individuality, segmenting and rendering 3D medical data f...
Li Xinwu
CIKM
2009
Springer
14 years 2 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 5 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...