- Title
- Unsupervised machine learning identifies distinct molecular and phenotypic ALS subtypes in postmortem motor cortex and blood expression data
- Authors/Creators
- Heather Marriott - King's College LondonRenata Kabiljo - King's College LondonGuy P Hunt - King's College LondonAhmad Al Khleifat - King's College LondonClaire Troakes - King's College LondonSulev Koks - Murdoch University, Centre for Molecular Medicine and Innovative TherapeuticsRichard J Dobson - University College London Hospitals NHS Foundation TrustPatrick SchwabAmmar Al-Chalabi - King's College HospitalAlfredo Iacoangeli - King's College London
- Publication Details
- Human heredity, Vol.88(Suppl. 1), p.55
- Publisher
- Karger
- Number of pages
- 72
- Identifiers
- 991005633270007891
- Murdoch Affiliation
- Centre for Molecular Medicine and Innovative Therapeutics
- Language
- English
- Resource Type
- Journal article
- Note
- Poster presented at the 51st European Mathematical Genetics Meeting (EMGM) 2023
Journal article
Unsupervised machine learning identifies distinct molecular and phenotypic ALS subtypes in postmortem motor cortex and blood expression data
Human heredity, Vol.88(Suppl. 1), p.55
2023
PMID: 38086345
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- Citation topics
- No Topic Assigned
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- Web Of Science research areas
- Genetics & Heredity
- ESI research areas
- Molecular Biology & Genetics