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» A Machine-Learning Strategy for Protein Analysis
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ISMB
1993
15 years 3 months ago
Pattern Discovery in Gene Regulation: Designing an Analysis Environment
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
Stella Veretnik, Bruce R. Schatz
BMCBI
2010
133views more  BMCBI 2010»
15 years 2 months ago
Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis
Background: Analysis of data from high-throughput experiments depends on the availability of well-structured data that describe the assayed biomolecules. Procedures for obtaining ...
Henning Redestig, Miyako Kusano, Atsushi Fukushima...
BMCBI
2010
103views more  BMCBI 2010»
15 years 2 months ago
Nonparametric methods for the analysis of single-color pathogen microarrays
Background: The analysis of oligonucleotide microarray data in pathogen surveillance and discovery is a challenging task. Target template concentration, nucleic acid integrity, an...
Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey ...
RECOMB
2004
Springer
16 years 2 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir
BMCBI
2007
157views more  BMCBI 2007»
15 years 1 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...