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ISMB
1994
13 years 11 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
ISMB
1993
13 years 11 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
HEURISTICS
2002
146views more  HEURISTICS 2002»
13 years 10 months ago
Hybrid Genetic Algorithm for DNA Sequencing with Errors
In the paper, a new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is presented. The algorithm has as its input a set of oligonucleo...
Jacek Blazewicz, Marta Kasprzak, Wojciech Kuroczyc...
JMLR
2010
89views more  JMLR 2010»
13 years 5 months ago
Mass Fatality Incident Identification based on nuclear DNA evidence
This paper focuses on the use of nuclear DNA Short Tandem Repeat traits for the identification of the victims of a Mass Fatality Incident. The goal of the analysis is the assessme...
Fabio Corradi
BMCBI
2007
164views more  BMCBI 2007»
13 years 10 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason