ORCID Profile
0000-0002-0374-2240
Current Organisation
New York Stem Cell Foundation
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Publisher: Springer Science and Business Media LLC
Date: 26-06-2018
Publisher: American Association for the Advancement of Science (AAAS)
Date: 06-01-2021
Abstract: Three major molecular subtypes of Alzheimer’s disease are identified, cross-validated, and characterized across 1543 in iduals.
Publisher: Cold Spring Harbor Laboratory
Date: 16-11-2020
DOI: 10.1101/2020.11.13.380576
Abstract: Drug discovery for diseases such as Parkinson’s disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and deep learning. We applied this platform to primary fibroblasts from 91 Parkinson’s disease patients and matched healthy controls, creating the largest publicly available Cell Painting image dataset to date at 48 terabytes. We use fixed weights from a convolutional deep neural network trained on ImageNet to generate deep embeddings from each image and train machine learning models to detect morphological disease phenotypes. Our platform’s robustness and sensitivity allow the detection of in idual-specific variation with high fidelity across batches and plate layouts. Lastly, our models confidently separate LRRK2 and sporadic Parkinson’s disease lines from healthy controls (receiver operating characteristic area under curve 0.79 (0.08 standard deviation)), supporting the capacity of this platform for complex disease modeling and drug screening applications.
Publisher: Springer Science and Business Media LLC
Date: 27-10-2017
Location: United States of America
No related grants have been discovered for Scott Noggle.