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BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
IJSI
2008
91views more  IJSI 2008»
15 years 6 months ago
Random Event Structures
Abstract In a line of recent development, probabilistic constructions of universal, homogeneous objects have been provided in various categories of ordered structures, such as caus...
Manfred Droste, Guo-Qiang Zhang
JCB
2007
130views more  JCB 2007»
15 years 6 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
TVLSI
2008
187views more  TVLSI 2008»
15 years 6 months ago
A Design Flow for Architecture Exploration and Implementation of Partially Reconfigurable Processors
During the last years, the growing application complexity, design, and mask costs have compelled embedded system designers to increasingly consider partially reconfigurable applica...
Kingshuk Karuri, Anupam Chattopadhyay, Xiaolin Che...
BMCBI
2004
127views more  BMCBI 2004»
15 years 6 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
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