A survey of hierarchical classification across different application domains
CN Silla, AA Freitas - Data mining and knowledge discovery, 2011 - Springer
In this survey we discuss the task of hierarchical classification. The literature about this field
is scattered across very different application domains and for that reason research in one …
is scattered across very different application domains and for that reason research in one …
True path rule hierarchical ensembles for genome-wide gene function prediction
G Valentini - IEEE/ACM Transactions on Computational Biology …, 2010 - ieeexplore.ieee.org
Gene function prediction is a complex computational problem, characterized by several
items: the number of functional classes is large, and a gene may belong to multiple classes; …
items: the number of functional classes is large, and a gene may belong to multiple classes; …
Hierarchical ensemble methods for protein function prediction
G Valentini - International Scholarly Research Notices, 2014 - Wiley Online Library
Protein function prediction is a complex multiclass multilabel classification problem,
characterized by multiple issues such as the incompleteness of the available annotations …
characterized by multiple issues such as the incompleteness of the available annotations …
Behaviour problems in children with dyslexia
E Heiervang, Anders Lund, Jim Stevenson … - Nordic journal of …, 2001 - Taylor & Francis
The association between behaviour problems and dyslexia was assessed in a population
sample of 10-to 12-year-old children. Twenty-five dyslexic children and a matched control …
sample of 10-to 12-year-old children. Twenty-five dyslexic children and a matched control …
Computational methods for metabolic reconstruction
E Pitkänen, J Rousu, E Ukkonen - Current opinion in biotechnology, 2010 - Elsevier
In the wake of numerous sequenced genomes becoming available, computational methods
for the reconstruction of metabolic networks have received considerable attention. Here, we …
for the reconstruction of metabolic networks have received considerable attention. Here, we …
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
Gene function prediction is a complex multilabel classification problem with several
distinctive features: the hierarchical relationships between functional classes, the presence …
distinctive features: the hierarchical relationships between functional classes, the presence …
Hierarchical classification of gene ontology terms using the GOstruct method
Protein function prediction is an active area of research in bioinformatics. Yet, the transfer of
annotation on the basis of sequence or structural similarity remains widely used as an …
annotation on the basis of sequence or structural similarity remains widely used as an …
Inferring branching pathways in genome-scale metabolic networks
Background A central problem in computational metabolic modelling is how to find
biochemically plausible pathways between metabolites in a metabolic network. Two …
biochemically plausible pathways between metabolites in a metabolic network. Two …
Kernel-map** recommender system algorithms
Recommender systems apply machine learning techniques for filtering unseen information
and can predict whether a user would like a given item. In this paper, we propose a new …
and can predict whether a user would like a given item. In this paper, we propose a new …
Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods
Background The prediction of human gene–abnormal phenotype associations is a
fundamental step toward the discovery of novel genes associated with human disorders …
fundamental step toward the discovery of novel genes associated with human disorders …