Daniele Soria
TitleCited byYear
Global histone modifications in breast cancer correlate with tumor phenotypes, prognostic factors, and patient outcome
SE Elsheikh, AR Green, EA Rakha, DG Powe, RA Ahmed, HM Collins, ...
Cancer research 69 (9), 3802-3809, 2009
Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer
EA Rakha, D Soria, AR Green, C Lemetre, DG Powe, CC Nolan, ...
British journal of cancer 110 (7), 1688, 2014
A ‘non-parametric’version of the naive Bayes classifier
D Soria, JM Garibaldi, F Ambrogi, EM Biganzoli, IO Ellis
Knowledge-Based Systems 24 (6), 775-784, 2011
p53 status identifies two subgroups of triple-negative breast cancers with distinct biological features
E Biganzoli, D Coradini, F Ambrogi, JM Garibaldi, P Lisboa, D Soria, ...
Japanese journal of clinical oncology 41 (2), 172-179, 2011
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients
D Soria, JM Garibaldi, F Ambrogi, AR Green, D Powe, E Rakha, ...
Computers in Biology and Medicine 40 (3), 318-330, 2010
Biology of primary breast cancer in older women treated by surgery: with correlation with long-term clinical outcome and comparison with their younger counterparts
BM Syed, AR Green, EC Paish, D Soria, J Garibaldi, L Morgan, ...
British journal of cancer 108 (5), 1042, 2013
Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers
AR Green, DG Powe, EA Rakha, D Soria, C Lemetre, CC Nolan, ...
British journal of cancer 109 (7), 1886-1894, 2013
A comparison of three different methods for classification of breast cancer data
D Soria, JM Garibaldi, E Biganzoli, IO Ellis
2008 Seventh International Conference on Machine Learning and Applications …, 2008
Characteristics of basal cytokeratin expression in breast cancer
AT Alshareeda, D Soria, JM Garibaldi, E Rakha, C Nolan, IO Ellis, ...
Breast cancer research and treatment 139 (1), 23-37, 2013
A quantifier-based fuzzy classification system for breast cancer patients
D Soria, JM Garibaldi, AR Green, DG Powe, CC Nolan, C Lemetre, ...
Artificial intelligence in medicine 58 (3), 175-184, 2013
MYC regulation of glutamine–proline regulatory axis is key in luminal B breast cancer
ML Craze, H Cheung, N Jewa, NDM Coimbra, D Soria, R El-Ansari, ...
British Journal of Cancer 118 (2), 258, 2018
Markers of progression in early-stage invasive breast cancer: a predictive immunohistochemical panel algorithm for distant recurrence risk stratification
MA Aleskandarany, D Soria, AR Green, C Nolan, M Diez-Rodriguez, ...
Breast cancer research and treatment 151 (2), 325-333, 2015
Comparison of algorithms that detect drug side effects using electronic healthcare databases
JM Reps, JM Garibaldi, U Aickelin, D Soria, J Gibson, R Hubbard
Soft Computing 17 (12), 2381-2397, 2013
Practical detection of a definitive biomarker panel for Alzheimer’s disease; comparisons between matched plasma and cerebrospinal fluid
JL Richens, KA Vere, RA Light, D Soria, J Garibaldi, AD Smith, D Warden, ...
International journal of molecular epidemiology and genetics 5 (2), 53, 2014
KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach
WJF Green, G Ball, G Hulman, C Johnson, G Van Schalwyk, HL Ratan, ...
British journal of cancer 115 (2), 236, 2016
Nottingham prognostic index plus: validation of a clinical decision making tool in breast cancer in an independent series
AR Green, D Soria, J Stephen, DG Powe, CC Nolan, I Kunkler, J Thomas, ...
The Journal of Pathology: Clinical Research 2 (1), 32-40, 2016
Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers
K Vedhara, K Dawe, JNV Miles, MA Wetherell, N Cullum, C Dayan, ...
PloS one 11 (4), e0153315, 2016
Discovering sequential patterns in a UK general practice database
J Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012
Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome
JF Liu, RA Dineen, S Avula, T Chambers, M Dutta, T Jaspan, ...
British journal of neurosurgery 32 (1), 18-27, 2018
Comparing data-mining algorithms developed for longitudinal observational databases
J Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard
2012 12th UK Workshop on Computational Intelligence (UKCI), 1-8, 2012
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Articles 1–20