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» Learning Methods for DNA Binding in Computational Biology
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GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
CIBCB
2005
IEEE
15 years 3 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
BMCBI
2011
14 years 4 months ago
PICS-Ord: Unlimited Coding of Ambiguous Regions by Pairwise Identity and Cost Scores Ordination
Background: We present a novel method to encode ambiguously aligned regions in fixed multiple sequence alignments by ‘Pairwise Identity and Cost Scores Ordination’ (PICS-Ord)....
Robert K. Luecking, Brendan P. Hodkinson, Alexandr...
RECOMB
2000
Springer
15 years 1 months ago
Contig selection in physical mapping
In physical mapping, one orders a set of genetic landmarks or a library of cloned fragments of DNA according to their position in the genome. Our approach to physical mapping divi...
Steffen Heber, Jens Stoye, Jörg D. Hoheisel, ...
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WILF
2005
Springer
194views Fuzzy Logic» more  WILF 2005»
15 years 3 months ago
Learning Bayesian Classifiers from Gene-Expression MicroArray Data
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
Andrea Bosin, Nicoletta Dessì, Diego Libera...