Author

Willy Nojopranoto

Verily Life Sciences LLC (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anant DaduiD· 1 shared Andrew SingletoniD· 1 shared Cornelis BlauwendraatiD· 1 shared Dan VitaleiD· 1 shared David Saffo· 1 shared David W. CraigiD· 1 shared Elizabeth D. HutchinsiD· 1 shared Faraz FaghriiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Anant DaduORCID

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Author profile →

1 paper

Recent·Most cited

Multi-Modality Machine Learning Predicting Parkinsons Disease

Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana J. Sargent, Anant Dadu, Ivo Violich, Elizabeth D. Hutchins, David Saffo, Sara Bandrés‐Ciga, Jonggeol Jeff Kim, Yeajin Song, Melina Maleknia, Matt Bookman, Willy Nojopranoto, , Mike A. Nalls

This paper develops an automated ML model to predict Parkinson's Disease using multi-modal data, achieving high AUC scores and constructing gene networks relevant to PD.

npj Parkinson s Disease · Apr 1, 2022Peer-reviewedGenomics