Irena Spasic
Irena Spasic
Professor in Computer Science, Cardiff University
Verified email at - Homepage
Cited by
Cited by
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
MJ Herrgård, N Swainston, P Dobson, WB Dunn, KY Arga, M Arvas, ...
Nature biotechnology 26 (10), 1155-1160, 2008
Metabolic footprinting and systems biology: the medium is the message
DB Kell, M Brown, HM Davey, WB Dunn, I Spasic, SG Oliver
Nature reviews microbiology 3 (7), 557-565, 2005
Text mining and ontologies in biomedicine: making sense of raw text
I Spasic, S Ananiadou, J McNaught, A Kumar
Briefings in bioinformatics 6 (3), 239-251, 2005
Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics
M Brown, WB Dunn, P Dobson, Y Patel, CL Winder, S Francis-McIntyre, ...
Analyst 134 (7), 1322-1332, 2009
Text mining of cancer-related information: review of current status and future directions
I Spasić, J Livsey, JA Keane, G Nenadić
International journal of medical informatics 83 (9), 605-623, 2014
Clinical text data in machine learning: Systematic review
I Spasić, G Nenadić
JMIR Medical Informatics 8 (3), e17984, 2020
A metabolome pipeline: from concept to data to knowledge
M Brown, WB Dunn, DI Ellis, R Goodacre, J Handl, JD Knowles, ...
Metabolomics 1, 39-51, 2005
Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate
WB Dunn, DI Broadhurst, SM Deepak, MH Buch, G McDowell, I Spasic, ...
Metabolomics 3, 413-426, 2007
A GC-TOF-MS study of the stability of serum and urine metabolomes during the UK Biobank sample collection and preparation protocols
WB Dunn, D Broadhurst, DI Ellis, M Brown, A Halsall, S O’Hagan, I Spasic, ...
International journal of epidemiology 37 (suppl_1), i23-i30, 2008
Sentiment analysis in health and wellbeing: Systematic review
A Zunic, P Corcoran, I Spasic
JMIR Medical Informatics 8 (1), e16023, 2020
A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes
K Smallbone, HL Messiha, KM Carroll, CL Winder, N Malys, WB Dunn, ...
FEBS letters 587 (17), 2832-2841, 2013
Machine learning on mobile: An on-device inference app for skin cancer detection
X Dai, I Spasić, B Meyer, S Chapman, F Andres
4th IEEE International Conference on Fog and Mobile Edge Computing, Rome, Italy, 2019
A text mining approach to the prediction of disease status from clinical discharge summaries
H Yang, I Spasic, JA Keane, G Nenadic
Journal of the American Medical Informatics Association 16 (4), 596-600, 2009
The role of idioms in sentiment analysis
L Williams, C Bannister, M Arribas-Ayllon, A Preece, I Spasić
Expert Systems with Applications 42 (21), 7375-7385, 2015
Medication information extraction with linguistic pattern matching and semantic rules
I Spasić, F Sarafraz, JA Keane, G Nenadić
Journal of the American Medical Informatics Association 17 (5), 532-535, 2010
SBRML: a markup language for associating systems biology data with models
JO Dada, I Spasić, NW Paton, P Mendes
Bioinformatics 26 (7), 932-938, 2010
Terminology-driven mining of biomedical literature
G Nenadić, I Spasić, S Ananiadou
Proceedings of the 2003 ACM symposium on Applied computing, 83-87, 2003
Automatic discovery of term similarities using pattern mining
G Nenadić, I Spasić, S Ananiadou
COLING-02 on COMPUTERM 2002: second international workshop on computational …, 2002
External validation of the UKPDS risk engine in incident type 2 diabetes: a need for new type 2 diabetes–specific risk equations
CA Bannister, CD Poole, S Jenkins-Jones, CL Morgan, G Elwyn, I Spasić, ...
Diabetes care 37 (2), 537-545, 2014
FlexiTerm: a flexible term recognition method
I Spasić, M Greenwood, A Preece, N Francis, G Elwyn
Journal of biomedical semantics 4, 1-15, 2013
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