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Mining human prostate cancer datasets: The “camcAPP” shiny app
View ORCID ProfileMark J Dunning, Sarah L Vowler, Emilie Lalonde, Helen Ross-Adams, Ian G Mills, Andy G Lynch, Alastair D Lamb
doi: https://doi.org/10.1101/090589
Mark J Dunning
1Cancer Research UK Cambridge Institute, Cambridge Biomedical Campus, UK
Sarah L Vowler
1Cancer Research UK Cambridge Institute, Cambridge Biomedical Campus, UK
Emilie Lalonde
2Department of Medical Biophysics, University of Toronto, Canada
3Informatics and Bio-Computing Program, Ontario Institute for Cancer Research, Toronto, Canada
Helen Ross-Adams
4Bioinformatics Unit, Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University London
Ian G Mills
5Centre for Cancer Research and Cell Biology (CCRCB), Queen’s University of Belfast, 97 Lisburn Road, Belfast
Andy G Lynch
1Cancer Research UK Cambridge Institute, Cambridge Biomedical Campus, UK
Alastair D Lamb
1Cancer Research UK Cambridge Institute, Cambridge Biomedical Campus, UK
6Department of Genito-urinary Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
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Posted January 16, 2017.
Mining human prostate cancer datasets: The “camcAPP” shiny app
Mark J Dunning, Sarah L Vowler, Emilie Lalonde, Helen Ross-Adams, Ian G Mills, Andy G Lynch, Alastair D Lamb
bioRxiv 090589; doi: https://doi.org/10.1101/090589
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