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BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
92
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BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
Spatial normalization of array-CGH data
Background: Array-based comparative genomic hybridization (array-CGH) is a recently developed technique for analyzing changes in DNA copy number. As in all microarray analyses, no...
Pierre Neuvial, Philippe Hupé, Isabel Brito...
75
Voted
BMCBI
2005
99views more  BMCBI 2005»
14 years 9 months ago
CGH-Profiler: Data mining based on genomic aberration profiles
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
DNA
2007
Springer
176views Bioinformatics» more  DNA 2007»
15 years 3 months ago
Asynchronous Spiking Neural P Systems: Decidability and Undecidability
In search for “realistic” bio-inspired computing models, we consider asynchronous spiking neural P systems, in the hope to get a class of computing devices with decidable prope...
Matteo Cavaliere, Ömer Egecioglu, Oscar H. Ib...
IQ
2003
14 years 11 months ago
Data Quality in Genome Databases
: Genome databases store data about molecular biological entities such as genes, proteins, diseases, etc. The main purpose of creating and maintaining such databases in commercial ...
Heiko Müller, Felix Naumann