Spasić, Irena, Schober, Daniel, Sansone, Susanna-Assunta, Rebholz-Schuhmann, Dietrich, Kell, Douglas B, Paton, Norman W
Abstract Background Many bioinformatics applications rely on controlled vocabularies or ontologies to consistently interpret and seamlessly integrate information scattered across public resources....
Morpho-syntactic Clues for Terminological Processing in Serbian (2008)
In this paper we discuss morpho-syntactic clues that can be used to facilitate terminological processing in Serbian. A method (called SRCE) for automatic extraction of multiword terms is presented....
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics (2006)
Spasić, Irena, Dunn, Warwick B, Velarde, Giles, Tseng, Andy, Jenkins, Helen, Hardy, Nigel, ...
Abstract Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function....
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics (2006)
Spasić, Irena, Dunn, Warwick, Velarde, Giles, Tseng, Andy, Jenkins, Helen, Hardy, Nigel, ...
Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their...
BMC Bioinformatics BioMed Central Database (2006)
Irena Spasić, Warwick B Dunn, Giles Velarde, Andy Tseng, Helen Jenkins, Nigel Hardy, ...
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics
Metabolic footprinting and systems biology: the medium is the message. (2005)
Kell, Douglas B., Brown, M., Davey, Hazel M., Dunn, W. B., Spasić, Irena, Oliver, Stephen G.
One element of classical systems analysis treats a system as a black or grey box, the inner structure and behaviour of which can be analysed and modelled by varying an internal or external condition,...
Learning to classify biomedical terms through literature mining and genetic algorithms (2004)
Irena Spasić, Goran Nenadić, Sophia Ananiadou
Abstract. We present an approach to classification of biomedical terms based on the information acquired automatically from the corpus of relevant literature. The learning phase consists of two...
Using Domain-Specific Verbs for Term Classification (2003)
In this paper we present an approach to term classification based on verb complementation patterns. The complementation patterns have been automatically learnt by combining information found in a...
Selecting text features for gene name classification: from documents to terms (2003)
Goran Nenadić, Simon Rice, Irena Spasić, Sophia Ananiadou, Benjamin Stapley
In this paper we discuss the performance of a text-based classification approach by comparing different types of features. We consider the automatic classification of gene names from the molecular...
Selecting text features for gene name classification: from documents to terms (2003)
Goran Nenadić, Simon Rice, Irena Spasić, Sophia Ananiadou, Benjamin Stapley
In this paper we discuss the performance of a text-based classification approach by comparing different types of features. We consider the automatic classification of gene names from the molecular...
Using Domain-Specific Verbs for Term Classification (2003)
In this paper we present an approach to term classification based on verb complementation patterns. The complementation patterns have been automatically learnt by combining information found in a...
Selecting text features for gene name classification: from documents to terms (2003)
Goran Nenadić, Simon Rice, Irena Spasić, Sophia Ananiadou, Benjamin Stapley
In this paper we discuss the performance of a text-based classification approach by comparing different types of features. We consider the automatic classification of gene names from the molecular...
Using Domain-Specific Verbs for Term Classification (2003)
In this paper we present an approach to term classification based on verb complementation patterns. The complementation patterns have been automatically learnt by combining information found in a...
Automatic Discovery of Term Similarities Using Pattern Mining (2002)
Goran Nenadić, Irena Spasić, Sophia Ananiadou
Term recognition and clustering are key topics in automatic knowledge acquisition and text mining. In this paper we present a novel approach to the automatic discovery of term similarities, which...
Automatic acronym acquisition and term variation management within domain specific texts (2002)
Goran Nenadić, Irena Spasić, Sophia Ananiadou
In this paper we present a framework for the effective management of terms and their variants that are automatically acquired from domain-specific texts. In our approach, the term variant recognition...
Automatic Discovery of Term Similarities Using Pattern Mining (2002)
Goran Nenadi Irena, Irena Spasić, Sophia Ananiadou
Term recognition and clustering are key topics in automatic knowledge acquisition and text mining. In this paper we present a novel approach to the automatic discovery of term similarities, which...
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics
Spasić, Irena, Dunn, Warwick B, Velarde, Giles, Tseng, Andy, Jenkins, Helen, Hardy, Nigel, ...