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Gaston K Mazandu

Showing results (1-10 of 40) with videos related to

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Advances in Bioinformatics|December 23, 2011
Generation and Analysis of Large-Scale Data-Driven Mycobacterium tuberculosis Functional Networks for Drug Target IdentificationGaston K Mazandu, Nicola J Mulder
Biomed Research International|October 1, 2013
Information content-based gene ontology semantic similarity approaches: toward a unified framework theoryGaston K Mazandu, Nicola J Mulder
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|November 17, 2011
Using the underlying biological organization of the Mycobacterium tuberculosis functional network for protein function predictionGaston K Mazandu, Nicola J Mulder
Frontiers in Genetics|August 23, 2014
The use of semantic similarity measures for optimally integrating heterogeneous Gene Ontology data from large scale annotation pipelinesGaston K Mazandu, Nicola J Mulder
Plos One|December 5, 2014
Information content-based Gene Ontology functional similarity measures: which one to use for a given biological data type?Gaston K Mazandu, Nicola J Mulder
Plos One|April 29, 2011
Scoring protein relationships in functional interaction networks predicted from sequence dataGaston K Mazandu, Nicola J Mulder
Advances in Bioinformatics|June 6, 2012
A topology-based metric for measuring term similarity in the gene ontologyGaston K Mazandu, Nicola J Mulder
BMC Bioinformatics|September 27, 2013
DaGO-Fun: tool for Gene Ontology-based functional analysis using term information content measuresGaston K Mazandu, Nicola J Mulder
International Journal of Molecular Sciences|July 28, 2012
Function prediction and analysis of mycobacterium tuberculosis hypothetical proteinsGaston K Mazandu, Nicola J Mulder
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|September 21, 2010
Contribution of microarray data to the advancement of knowledge on the Mycobacterium tuberculosis interactome: use of the random partial least squares approachGaston K Mazandu, Kenneth Opap, Nicola J Mulder
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Advances in Bioinformatics|December 23, 2011
Generation and Analysis of Large-Scale Data-Driven Mycobacterium tuberculosis Functional Networks for Drug Target IdentificationGaston K Mazandu, Nicola J Mulder
Biomed Research International|October 1, 2013
Information content-based gene ontology semantic similarity approaches: toward a unified framework theoryGaston K Mazandu, Nicola J Mulder
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|November 17, 2011
Using the underlying biological organization of the Mycobacterium tuberculosis functional network for protein function predictionGaston K Mazandu, Nicola J Mulder
Frontiers in Genetics|August 23, 2014
The use of semantic similarity measures for optimally integrating heterogeneous Gene Ontology data from large scale annotation pipelinesGaston K Mazandu, Nicola J Mulder
Plos One|December 5, 2014
Information content-based Gene Ontology functional similarity measures: which one to use for a given biological data type?Gaston K Mazandu, Nicola J Mulder
Plos One|April 29, 2011
Scoring protein relationships in functional interaction networks predicted from sequence dataGaston K Mazandu, Nicola J Mulder
Advances in Bioinformatics|June 6, 2012
A topology-based metric for measuring term similarity in the gene ontologyGaston K Mazandu, Nicola J Mulder
BMC Bioinformatics|September 27, 2013
DaGO-Fun: tool for Gene Ontology-based functional analysis using term information content measuresGaston K Mazandu, Nicola J Mulder
International Journal of Molecular Sciences|July 28, 2012
Function prediction and analysis of mycobacterium tuberculosis hypothetical proteinsGaston K Mazandu, Nicola J Mulder
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|September 21, 2010
Contribution of microarray data to the advancement of knowledge on the Mycobacterium tuberculosis interactome: use of the random partial least squares approachGaston K Mazandu, Kenneth Opap, Nicola J Mulder
Pageof 4