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Anacleto laboratory
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Anacleto
Contacts
People
Publications
Research
Computational biology software tools
Cost-sensitive and parametrized Hopfield Networks for gene function prediction
Detection of pathogenic variants in the non-coding human genome
Disease gene prioritization through semi-supervised transductive methods
Drug ranking and repositioning through network projections and kernelized score functions
Ensemble clustering methods for the analysis of patterns in bio-molecular data
Hierarchical ensembles of learning machines for gene function prediction
Network combination algorithms for the massive integration of omics data
Network-based gene function prediction through kernelized score functions
Network-based semi-supervised methods for phenotype/outcome prediction and biomarker selection
Scalable vertex-centric algorithms based on database technology
Stability-based methods for biomolecular cluster assessment
Supervised ensemble methods for biomolecular data integration
Supervised ensemble methods for phenotype and disease prediction
Anacleto laboratory
Home
Anacleto
Contacts
People
Publications
Research
Computational biology software tools
Cost-sensitive and parametrized Hopfield Networks for gene function prediction
Detection of pathogenic variants in the non-coding human genome
Disease gene prioritization through semi-supervised transductive methods
Drug ranking and repositioning through network projections and kernelized score functions
Ensemble clustering methods for the analysis of patterns in bio-molecular data
Hierarchical ensembles of learning machines for gene function prediction
Network combination algorithms for the massive integration of omics data
Network-based gene function prediction through kernelized score functions
Network-based semi-supervised methods for phenotype/outcome prediction and biomarker selection
Scalable vertex-centric algorithms based on database technology
Stability-based methods for biomolecular cluster assessment
Supervised ensemble methods for biomolecular data integration
Supervised ensemble methods for phenotype and disease prediction
More
Home
Anacleto
Contacts
People
Publications
Research
Computational biology software tools
Cost-sensitive and parametrized Hopfield Networks for gene function prediction
Detection of pathogenic variants in the non-coding human genome
Disease gene prioritization through semi-supervised transductive methods
Drug ranking and repositioning through network projections and kernelized score functions
Ensemble clustering methods for the analysis of patterns in bio-molecular data
Hierarchical ensembles of learning machines for gene function prediction
Network combination algorithms for the massive integration of omics data
Network-based gene function prediction through kernelized score functions
Network-based semi-supervised methods for phenotype/outcome prediction and biomarker selection
Scalable vertex-centric algorithms based on database technology
Stability-based methods for biomolecular cluster assessment
Supervised ensemble methods for biomolecular data integration
Supervised ensemble methods for phenotype and disease prediction
Network-based semi-supervised methods for phenotype/outcome prediction and biomarker selection
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