about
Using biological networks to improve our understanding of infectious diseasesPredicting and analyzing interactions between Mycobacterium tuberculosis and its human hostScoring protein relationships in functional interaction networks predicted from sequence dataThe use of semantic similarity measures for optimally integrating heterogeneous Gene Ontology data from large scale annotation pipelines.Information content-based Gene Ontology functional similarity measures: which one to use for a given biological data type?Contribution of microarray data to the advancement of knowledge on the Mycobacterium tuberculosis interactome: use of the random partial least squares approach.Generation and Analysis of Large-Scale Data-Driven Mycobacterium tuberculosis Functional Networks for Drug Target IdentificationDaGO-Fun: tool for Gene Ontology-based functional analysis using term information content measures.A web-based protein interaction network visualizerA-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.A topology-based metric for measuring term similarity in the gene ontology.Function prediction and analysis of mycobacterium tuberculosis hypothetical proteins.Large-scale data-driven integrative framework for extracting essential targets and processes from disease-associated gene data sets.A Quantitative Approach to Analyzing Genome Reductive Evolution Using Protein-Protein Interaction Networks: A Case Study of Mycobacterium leprae.Information content-based gene ontology semantic similarity approaches: toward a unified framework theoryGene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery.Using the underlying biological organization of the Mycobacterium tuberculosis functional network for protein function prediction.ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populations.A multi-scenario genome-wide medical population genetics simulation framework.A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1.A systems-level analysis of drug-target-disease associations for drug repositioning.Post genome-wide association analysis: dissecting computational pathway/network-based approaches.A comprehensive survey of models for dissecting local ancestry deconvolution in human genomeContribution of microarray data to the advancement of knowledge on the Mycobacterium tuberculosis interactome: Use of the random partial least squares approachImplementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and CardiologyEstablishing a Multi-Country Sickle Cell Disease Registry in Africa: Ethical ConsiderationsThe Hearing Impairment Ontology: A Tool for Unifying Hearing Impairment Knowledge to Enhance Collaborative ResearchDissecting in silico Mutation Prediction of Variants in African Genomes: Challenges and PerspectivesA broad survey of DNA sequence data simulation toolsDating admixture events is unsolved problem in multi-way admixed populationsIdentifying genetic variants and pathways associated with extreme levels of fetal hemoglobin in sickle cell disease in Tanzania
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description
researcher, ORCID id # 0000-0002-6441-8006
@en
wetenschapper
@nl
name
Gaston K Mazandu
@ast
Gaston K Mazandu
@en
Gaston K Mazandu
@es
Gaston K Mazandu
@nl
type
label
Gaston K Mazandu
@ast
Gaston K Mazandu
@en
Gaston K Mazandu
@es
Gaston K Mazandu
@nl
prefLabel
Gaston K Mazandu
@ast
Gaston K Mazandu
@en
Gaston K Mazandu
@es
Gaston K Mazandu
@nl
P108
P106
P1153
24544637900
P2456
P31
P496
0000-0002-6441-8006