Random forest modelling demonstrates microglial and protein misfolding features to be key phenotypic markers in C9orf72-ALS

Autor: Olivia M Rifai, James Longden, Judi O'Shaughnessy, Michael DE Sewell, Judith Pate, Karina McDade, Michael JD Daniels, Sharon Abrahams, Siddharthan Chandran, Barry W McColl, Christopher R Sibley, Jenna M Gregory

Publikováno v: Rifai, O M, Longden, J, O'Shaughnessy, J, Sewell, M D E, Pate, J, McDade, K, Daniels, M J D, Abrahams, S, Chandran, S, McColl, B W, Sibley, C R & Gregory, J M 2022, ' Random forest modelling demonstrates microglial and protein misfolding features to be key phenotypic markers in C9orf72-ALS ', The Journal of Pathology, vol. 258, no. 4, pp. 366-381 . https://doi.org/10.1002/path.6008

Clinical heterogeneity observed across patients with amyotrophic lateral sclerosis (ALS) is a known complicating factor in identifying potential therapeutics, even within cohorts with the same mutation, such as C9orf72 hexanucleotide repeat expansion

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https://pubmed.ncbi.nlm.nih.gov/36070099