|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
|A metabolome pipeline: from concept to data to knowledge|
M Brown, WB Dunn, DI Ellis, R Goodacre, J Handl, JD Knowles, ...
Metabolomics 1 (1), 39-51, 2005
|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
|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
|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 (4), 413-426, 2007
|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
|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
|Terminology-driven mining of biomedical literature|
G Nenadic, I Spasic, S Ananiadou
Bioinformatics 19 (8), 938-943, 2003
|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
|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
|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
|Terminology-driven literature mining and knowledge acquisition in biomedicine|
G Nenadić, H Mima, I Spasić, S Ananiadou, J Tsujii
International Journal of Medical Informatics 67 (1-3), 33-48, 2002
|Automatic Acronym Acquisition and Term Variation Management within Domain-Specific Texts.|
G Nenadic, I Spasic, S Ananiadou
LREC, 2155-2162, 2002
|MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics|
I Spasić, WB Dunn, G Velarde, A Tseng, H Jenkins, N Hardy, SG Oliver, ...
BMC bioinformatics 7 (1), 1-16, 2006
|Metabolomics standards initiative: ontology working group work in progress|
SA Sansone, D Schober, HJ Atherton, O Fiehn, H Jenkins, P Rocca-Serra, ...
Metabolomics 3 (3), 249-256, 2007
|FlexiTerm: a flexible term recognition method|
I Spasić, M Greenwood, A Preece, N Francis, G Elwyn
Journal of biomedical semantics 4 (1), 1-15, 2013