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Random forest modelling of neuropathological features identifies microglial activation as an accurate pathological classifier of C9orf72-related amyotrophic lateral sclerosis
View ORCID ProfileOlivia M. Rifai, James Longden, Judi O’Shaughnessy, View ORCID ProfileMichael D.E. Sewell, Karina McDade, View ORCID ProfileMichael J.D. Daniels, Sharon Abrahams, Siddharthan Chandran, View ORCID ProfileBarry McColl, Christopher R. Sibley, View ORCID ProfileJenna M. Gregory
doi: https://doi.org/10.1101/2021.12.10.471808
Olivia M. Rifai
1Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
5Centre for Discovery Brain Sciences, University of Edinburgh, 15 George Square, Edinburgh EH8 9XD
James Longden
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Judi O’Shaughnessy
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Michael D.E. Sewell
1Translational Neuroscience PhD Programme, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Karina McDade
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Michael J.D. Daniels
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Sharon Abrahams
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
6Human Cognitive Neuroscience-Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ
Siddharthan Chandran
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Barry McColl
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Christopher R. Sibley
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
5Centre for Discovery Brain Sciences, University of Edinburgh, 15 George Square, Edinburgh EH8 9XD
7Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences, University of Edinburgh, The King’s Buildings, Edinburgh EH9 3FF
8Simons Initiative for the Developing Brain, University of Edinburgh, 15 George Square, Edinburgh EH8 9XD
Jenna M. Gregory
2Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
3UK Dementia Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
4Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB
Posted December 10, 2021.
Random forest modelling of neuropathological features identifies microglial activation as an accurate pathological classifier of C9orf72-related amyotrophic lateral sclerosis
Olivia M. Rifai, James Longden, Judi O’Shaughnessy, Michael D.E. Sewell, Karina McDade, Michael J.D. Daniels, Sharon Abrahams, Siddharthan Chandran, Barry McColl, Christopher R. Sibley, Jenna M. Gregory
bioRxiv 2021.12.10.471808; doi: https://doi.org/10.1101/2021.12.10.471808
Random forest modelling of neuropathological features identifies microglial activation as an accurate pathological classifier of C9orf72-related amyotrophic lateral sclerosis
Olivia M. Rifai, James Longden, Judi O’Shaughnessy, Michael D.E. Sewell, Karina McDade, Michael J.D. Daniels, Sharon Abrahams, Siddharthan Chandran, Barry McColl, Christopher R. Sibley, Jenna M. Gregory
bioRxiv 2021.12.10.471808; doi: https://doi.org/10.1101/2021.12.10.471808
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