Work

Transforming tissue transcriptomes, delivering on the promise of machine learning

Year: 2025

Type: article

Abstract: This scientific commentary refers to ‘Deep learning-based cell type profiles reveal signatures of Alzheimer’s resilience and resistance’ by Berson et al. (https://doi.org/10.1093/brain/awaf285).

Source: Brain

DOI: 10.1093/brain/awaf323

Author: Eric B Dammer

Institution: Emory University

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Institute on Aging, National Institute of Neurological Disorders and Stroke

Awards: G7706301800, A Proteomic Comparison of Sporadic Early-Onset, Late-Onset, and Autosomal Dominant Alzheimer's Disease

OpenAlex ID: W4413970301

FWCI:

Cites: 5

Cited by:

Related to: 10