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GRC
2010
IEEE
15 years 7 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
186
Voted
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
15 years 6 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls
Background: Statistical comparison of peptide profiles in biomarker discovery requires fast, userfriendly software for high throughput data analysis. Important features are flexib...
Mark K. Titulaer, Ivar Siccama, Lennard J. Dekker,...
AES
2005
Springer
137views Cryptology» more  AES 2005»
15 years 6 months ago
Design of a multimedia processor based on metrics computation
Media-processing applications, such as signal processing, 2D and 3D graphics rendering, and image compression, are the dominant workloads in many embedded systems today. The real-...
Nader Ben Amor, Yannick Le Moullec, Jean-Philippe ...
BMCBI
2005
87views more  BMCBI 2005»
15 years 6 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
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