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Journal Articles
- 2022
[j5]Roozbeh Atri
, Kevin Urban, Barbara Marebwa, Tanya Simuni, Caroline Tanner, Andrew Siderowf, Mark Frasier, Magali Haas, Lee Lancashire:
Deep Learning for Daily Monitoring of Parkinson's Disease Outside the Clinic Using Wearable Sensors. Sensors 22(18): 6831 (2022)- 2019
- [j4]Daniel Domingo-Fernández, Allison Provost, Alpha Tom Kodamullil, Josep Marín-Llaó, Heather Lasseter, Kristophe Diaz, Nikolaos P. Daskalakis, Lee Lancashire, Martin Hofmann-Apitius, Magali Haas:
PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis tools. Database J. Biol. Databases Curation 2019: baz081 (2019) - 2009
- [j3]Lee Lancashire, Christophe Lemetre, Graham R. Ball:
An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies. Briefings Bioinform. 10(3): 315-329 (2009) - 2008
- [j2]Lee Lancashire, Robert C. Rees, Graham R. Ball:
Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. Artif. Intell. Medicine 43(2): 99-111 (2008) - 2005
- [j1]Lee Lancashire, Oliver Schmid, Haroun Shah, Graham R. Ball:
Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis. Bioinform. 21(10): 2191-2199 (2005)
Conference and Workshop Papers
- 2022
- [c3]Maryan Zirkle, Kimon Kotronis, Lee Lancashire, Eugene Rakhmatulin, Magali Haas:
BRAINCommons: A Research Infrastructure Designed for Accelerated Discovery in Support of Brain Health. AMIA 2022 - 2009
- [c2]Christophe Lemetre, Lee Lancashire, Robert C. Rees, Graham R. Ball:
Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling. IWANN (1) 2009: 877-885 - 2005
- [c1]Lee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball:
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma. CIBCB 2005: 455-460
Coauthor Index
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