Author

Ali Daneshmand

Boston UniversityORCID 0000-0001-7927-2030Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:clustering· 1 Assay:electronic health records· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anant DaduiD· 2 shared Andrew SingletoniD· 2 shared Faraz FaghriiD· 2 shared Hampton L. LeonardiD· 2 shared Hirotaka IwakiiD· 2 shared Lana J. SargentiD· 2 shared Mary B. MakariousiD· 2 shared Mike A. NallsiD· 2 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anant DaduORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Bioinformaticsnpj Parkinson s DiseasePeer-reviewedDec 16, 2022

Identification and prediction of Parkinson's disease subtypes and progression using machine learning in two cohorts.

Anant Dadu, Vipul K. Satone, Rachneet Kaur…·Faraz Faghri

This study uses machine learning to identify Parkinson's disease subtypes and predict progression in two cohorts, finding three subtypes with distinct progression rates and high prediction accuracy.

115 citationstop 1%

humanmachine learning (classical)

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 26, 2020

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

Vipul K. Satone, Rachneet Kaur, Anant Dadu…·Faraz Faghri

This paper uses machine learning to predict Alzheimer's disease progression rates and classify clinical subtypes based on early clinical data.

12 citations

humanelectronic health records

𝕏 PostBluesky