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» Data Mining for Genetics: A Genetic Algorithm Approach
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BMCBI
2005
80views more  BMCBI 2005»
15 years 4 months ago
Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
211
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CEC
2007
IEEE
15 years 10 months ago
A Memetic Algorithm for test data generation of Object-Oriented software
— Generating test data for Object-Oriented (OO) software is a hard task. Little work has been done on the subject, and a lot of open problems still need to be investigated. In th...
Andrea Arcuri, Xin Yao
BMCBI
2010
160views more  BMCBI 2010»
15 years 4 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
ECML
2003
Springer
15 years 9 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
EVOW
2003
Springer
15 years 9 months ago
Chromosomal Breakpoint Detection in Human Cancer
Chromosomal aberrations are differences in DNA sequence copy number of chromosome regions 3 . These differences may be crucial genetic events in the development and progression o...
Kees Jong, Elena Marchiori, Aad van der Vaart, Bau...