Zhao, Yibo, Bracher-Smith, Matthew, Li, Yuelin, Harvey, Kirsten, Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483, Lewis, Patrick A. and Manzoni, Claudia 2024. Transcriptomics and weighted protein network analyses of the LRRK2 protein interactome reveal distinct molecular signatures for sporadic and LRRK2 Parkinson’s Disease. npj Parkinson's Disease 10 (1) , 144. 10.1038/s41531-024-00761-8 |
Donnelly, Nicholas, Cunningham, Adam, Salas, Sergio Marco, Bracher-Smith, Matthew, Chawner, Samuel, Stochl, Jan, Ford, Tamsin, Raymond, F. Lucy, Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483 and van den Bree, Marianne B. M. ORCID: https://orcid.org/0000-0002-4426-3254 2023. Identifying the neurodevelopmental and psychiatric signatures of genomic disorders associated with intellectual disability: a machine learning approach. Molecular Autism 14 (1) , 19. 10.1186/s13229-023-00549-2 |
Bracher-Smith, Matthew, Leonenko, Ganna ORCID: https://orcid.org/0000-0001-8025-661X, Baker, Emily, Crawford, Karen, Graham, Andrew, Salih, Dervis, Howell, Brian, Hardy, John and Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483 2022. Whole genome analysis in APOE4 homozygotes identifies the DAB1-RELN pathway in Alzheimer’s disease pathogenesis. Neurobiology of Aging 119 , pp. 67-76. 10.1016/j.neurobiolaging.2022.07.009 |
Smith, Matthew
2021.
Machine learning for genetic prediction of schizophrenia.
PhD Thesis,
Cardiff University.
Item availability restricted. |
Bracher-Smith, Matthew, Crawford, Karen and Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483 2021. Machine learning for genetic prediction of psychiatric disorders: a systematic review. Molecular Psychiatry 26 , pp. 70-79. 10.1038/s41380-020-0825-2 |