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» Gene set analysis using principal components
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127
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EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 7 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
BMCBI
2010
139views more  BMCBI 2010»
15 years 1 months ago
RNAstructure: software for RNA secondary structure prediction and analysis
Background: To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of...
Jessica S. Reuter, David H. Mathews
118
Voted
FCS
2009
14 years 11 months ago
Spectral Analysis of Attractors in Random Boolean Network Models
Circuits and loops in graph systems can be used to model the attractors in gene-regulatory networks. The number of such attractors grows very rapidly with network size and even fo...
Kenneth A. Hawick
129
Voted
BMCBI
2006
142views more  BMCBI 2006»
15 years 1 months ago
PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size
Background: We present a general approach to perform association analyses in pedigrees of arbitrary size and structure, which also allows for a mixture of pedigree members and ind...
Kristina Allen-Brady, Jathine Wong, Nicola J. Camp
DILS
2009
Springer
15 years 8 months ago
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Katherine James, Anil Wipat, Jennifer Hallinan