Lee Lancashire - researchr alias

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Viewing Publication 1 - 8 from 8

2022

2019

PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis toolsDaniel Domingo-Fernández, Allison Provost, Alpha Tom Kodamullil, Josep Marín-Llaó, Heather Lasseter, Kristophe Diaz, Nikolaos P. Daskalakis, Lee Lancashire, Martin Hofmann-Apitius, Magali Haas. biodb, 2019, 2019. [doi]

2009

An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studiesLee Lancashire, Christophe Lemetre, Graham R. Ball. bib, 10(3):315-329, 2009. [doi]

Artificial Neural Network Based Algorithm for Biomolecular Interactions ModelingChristophe Lemetre, Lee Lancashire, Robert C. Rees, Graham R. Ball. iwann 2009: 877-885 [doi]

2008

Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approachLee Lancashire, Robert C. Rees, Graham R. Ball. artmed, 43(2):99-111, 2008. [doi]

2005

Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysisLee Lancashire, O. Schmid, H. Shah, Graham R. Ball. bioinformatics, 21(10):2191-2199, 2005. [doi]

Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in MelanomaLee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball. cibcb 2005: 455-460

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