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Author: Faraz Faghri

  • ORCiD: http://orcid.org/0000-0001-5744-8728
  • Most recently observed institution: Center for Alzheimer and Related Dementias, National Institutes of Health, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA; Data Tecnica International LLC, Glen Echo, MD, USA

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  • All-time downloads: 35,478 (rank: 5,875 )
  • Categories:
    • bioinformatics: 2,059 (rank: 8,651 (tie) )
    • genetics: 18,004 (rank: 837 )
    • genomics: 7,301 (rank: 3,354 (tie) )
    • neurology: 1,582 (rank: 1,057 (tie) )
    • neuroscience: 6,532 (rank: 3,337 )

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Preprints

A fully automated FAIMS-DIA proteomic pipeline for high-throughput characterization of iPSC-derived neurons

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Expanding Parkinson's disease genetics: novel risk loci, genomic context, causal insights and heritable risk.

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Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis

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  • Downloaded 5,478 times
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Predicting onset, progression, and clinical subtypes of Parkinson disease using machine learning

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A CRISPRi/a platform in iPSC-derived microglia uncovers regulators of disease states

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Analysis and Prediction of Unplanned Intensive Care Unit Readmission using Recurrent Neural Networks with Long Short-Term Memory

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Large-scale pathway-specific polygenic risk, transcriptomic community networks and functional inferences in Parkinson disease

genetics more details view paper
  • Downloaded 1,555 times
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Genome-wide association study of Parkinson’s disease progression biomarkers in 12 longitudinal patients’ cohorts

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Mutations in the SPTLC1 gene are a cause of juvenile amyotrophic lateral sclerosis that may be amenable to serine supplementation

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The Parkinson's Disease GWAS Locus Browser

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Genetic variability and potential effects on clinical trial outcomes: perspectives in Parkinson's disease

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Predicting Alzheimer’s disease progression trajectory and clinical subtypes using machine learning

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    • In neuroscience: 3,655
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Penetrance of Parkinson’s disease in LRRK2 p.G2019S carriers is modified by a polygenic risk score

genetics more details view paper
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Multi-Modality Machine Learning Predicting Parkinsons Disease

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Biomarkers of Parkinson's Disease: Screening Vital Signs and Routine Blood Tests

neurology more details view paper
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Differences in the presentation and progression of Parkinson's disease by sex

neurology more details view paper
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Evidence for GRN as part of a neuroinflammatory mechanism connecting common neurodegenerative diseases.

neurology more details view paper
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Identification and prediction of ALS subgroups using machine learning

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  • Downloaded 288 times
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PhenoExam: an R package and Web application for the examination of phenotypes linked to genes and gene sets

bioinformatics more details view paper
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Longitudinal Risk Factor for Developing Depression in Parkinson's Disease

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