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Current Opinion in Microbiology
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September 29, 2004
Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction
Ronald Jansen, Mark Gerstein
Science (New York, N.Y.)
|
January 12, 2002
Proteomics. Integrating interactomes
Mark Gerstein, Ning Lan, Ronald Jansen
Genome Research
|
January 10, 2002
Relating whole-genome expression data with protein-protein interactions
Ronald Jansen, Dov Greenbaum, Mark Gerstein
Bioinformatics (Oxford, England)
|
May 23, 2002
Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts
Dov Greenbaum, Ronald Jansen, Mark Gerstein
Nucleic Acids Research
|
April 12, 2003
Revisiting the codon adaptation index from a whole-genome perspective: analyzing the relationship between gene expression and codon occurrence in yeast using a variety of models
Ronald Jansen, Harmen J Bussemaker, Mark Gerstein
Journal of Structural and Functional Genomics
|
July 3, 2003
Integration of genomic datasets to predict protein complexes in yeast
Ronald Jansen, Ning Lan, Jiang Qian, et al.
Plos Computational Biology
|
February 1, 2006
Signal processing in the TGF-beta superfamily ligand-receptor network
Jose M G Vilar, Ronald Jansen, Chris Sander
Bioinformatics (Oxford, England)
|
June 2, 2007
Total ancestry measure: quantifying the similarity in tree-like classification, with genomic applications
Haiyuan Yu, Ronald Jansen, Gustavo Stolovitzky, et al.
BMC Bioinformatics
|
October 20, 2004
Information assessment on predicting protein-protein interactions
Nan Lin, Baolin Wu, Ronald Jansen, et al.
Genome Research
|
November 8, 2002
Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons
Alvaro Mateos, Joaquín Dopazo, Ronald Jansen, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Current Opinion in Microbiology
|
September 29, 2004
Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction
Ronald Jansen, Mark Gerstein
Science (New York, N.Y.)
|
January 12, 2002
Proteomics. Integrating interactomes
Mark Gerstein, Ning Lan, Ronald Jansen
Genome Research
|
January 10, 2002
Relating whole-genome expression data with protein-protein interactions
Ronald Jansen, Dov Greenbaum, Mark Gerstein
Bioinformatics (Oxford, England)
|
May 23, 2002
Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts
Dov Greenbaum, Ronald Jansen, Mark Gerstein
Nucleic Acids Research
|
April 12, 2003
Revisiting the codon adaptation index from a whole-genome perspective: analyzing the relationship between gene expression and codon occurrence in yeast using a variety of models
Ronald Jansen, Harmen J Bussemaker, Mark Gerstein
Journal of Structural and Functional Genomics
|
July 3, 2003
Integration of genomic datasets to predict protein complexes in yeast
Ronald Jansen, Ning Lan, Jiang Qian, et al.
Plos Computational Biology
|
February 1, 2006
Signal processing in the TGF-beta superfamily ligand-receptor network
Jose M G Vilar, Ronald Jansen, Chris Sander
Bioinformatics (Oxford, England)
|
June 2, 2007
Total ancestry measure: quantifying the similarity in tree-like classification, with genomic applications
Haiyuan Yu, Ronald Jansen, Gustavo Stolovitzky, et al.
BMC Bioinformatics
|
October 20, 2004
Information assessment on predicting protein-protein interactions
Nan Lin, Baolin Wu, Ronald Jansen, et al.
Genome Research
|
November 8, 2002
Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptrons
Alvaro Mateos, Joaquín Dopazo, Ronald Jansen, et al.
Page
of 2