Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. Artificial intelligence in medicine (2008) (Epub 15 Apr 2008) PubMed ID:(18420392 )

Quantitative proteomic analysis demonstrates post-transcriptional regulation of embryonic stem cell differentiation to hematopoiesis. (2007) (Epub 27 Nov 2007) PubMed ID:(18045800 )

Boateng J, Lancashire L, Ahmad M, Davy R, Matharoo-Ball B, Velloso C, Roberts J, Teale P, Yu Yang S, Rees R, Ball G, Goldspink G, Creaser C . The use of proteomic and bioinformatics techniques for the detection of protein biomarkers following growth hormone administration The internet journal of genomics and proteomics. 2 (2007)

Matharoo-Ball B, Ratcliffe L, Lancashire L, Ugurel S, Miles A, Weston D, Rees R, Schadendorf D, Ball G, Creaser C. Diagnostic biomarkers differentiating metastatic melanoma patients from healthy controls identified by an integrated MALDI-TOF mass spectrometry/bioinformatic approach Proteomics- Clinical Applications 1 , 605-620 (2007)

Lancashire L, Ugurel S, Creaser C, Schadendorf D, Rees R, Ball G. Utilizing Artificial Neural Networks To Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages In Melanoma IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2005)