Predicting Alzheimer's disease subtypes and understanding their molecular characteristics in living patients with transcriptomic trajectory profiling.

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Bibliographic Details
Title: Predicting Alzheimer's disease subtypes and understanding their molecular characteristics in living patients with transcriptomic trajectory profiling.
Authors: Huang X; Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA., Jannu AJ; Department of Biohealth Informatics, Indiana University School of Medicine, Indianapolis, Indiana, USA., Song Z; Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA., Jury-Garfe N; Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, Indiana, USA., Lasagna-Reeves CA; Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, Indiana, USA., Johnson TS; Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA., Huang K; Department of Biostatistics & Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, USA., Zhang J; Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Corporate Authors: Alzheimer's Disease Neuroimaging Initiative
Source: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2025 Jan; Vol. 21 (1), pp. e14241. Date of Electronic Publication: 2025 Jan 15.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1552-5279
DOI:10.1002/alz.14241