Alexey V. Antonov

According to our database1, Alexey V. Antonov authored at least 16 papers between 2003 and 2011.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2011
MIPS: curated databases and comprehensive secondary data resources in 2010.
Nucleic Acids Res., 2011

BioProfiling.de: analytical web portal for high-throughput cell biology.
Nucleic Acids Res., 2011

2010
CCancer: a bird's eye view on gene lists reported in cancer-related studies.
Nucleic Acids Res., 2010

<i>R</i> spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases.
Nucleic Acids Res., 2010

2009
GeneSet2miRNA: finding the signature of cooperative miRNA activities in the gene lists.
Nucleic Acids Res., 2009

The DICS repository: module-assisted analysis of disease-related gene lists.
Bioinform., 2009

2008
ProfCom: a web tool for profiling the complex functionality of gene groups identified from high-throughput data.
Nucleic Acids Res., 2008

Complex phylogenetic profiling reveals fundamental genotype-phenotype associations.
Comput. Biol. Chem., 2008

Consecutive KEGG Pathway Models for the Interpretation of High-throughput Genomics Data.
Proceedings of the German Conference on Bioinformatics, 2008

2007
Revealing Comprehensive Genotype-Phenotype Associations through Logic Relationships.
Proceedings of the German Conference on Bioinformatics, 2007

2006
Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores.
J. Chem. Inf. Model., 2006

2005
Exploiting scale-free information from expression data for cancer classification.
Comput. Biol. Chem., 2005

MIPS bacterial genomes functional annotation benchmark dataset.
Bioinform., 2005

2004
A web portal for classification of expression data using maximal margin linear programming.
Bioinform., 2004

Optimization models for cancer classification: extracting gene interaction information from microarray expression data.
Bioinform., 2004

2003
Exploiting gene interaction information from microarray expression data for cancer classification.
Proceedings of the German Conference on Bioinformatics, 2003


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