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Dadu, Anant
25  Ergebnisse:
Personensuche X
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1

Federated learning for multi-omics: A performance evaluatio..:

Danek, Benjamin P. ; Makarious, Mary B. ; Dadu, Anant...
Patterns.  5 (2024)  3 - p. 100945 , 2024
Link: https://doi.org/10.1016/..
 
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2

Application of Aligned-UMAP to longitudinal biomedical stud..:

Dadu, Anant ; Satone, Vipul K. ; Kaur, Rachneet...
Patterns.  4 (2023)  6 - p. 100741 , 2023
Link: https://doi.org/10.1016/..
 
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3

Genetic risk factor clustering within and across neurodegen..:

Koretsky, Mathew J ; Alvarado, Chelsea ; Makarious, Mary B...
Brain.  146 (2023)  11 - p. 4486-4494 , 2023
Link: https://doi.org/10.1093/..
 
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4

Multi-modality machine learning predicting Parkinson's dise..:

Makarious, Mary B. ; Leonard, Hampton L. ; Vitale, Dan...
npj Parkinson's Disease.  8 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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5

Identification and prediction of Parkinson's disease subtyp..:

Dadu, Anant ; Satone, Vipul ; Kaur, Rachneet...
npj Parkinson's Disease.  8 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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6

Identifying and predicting amyotrophic lateral sclerosis cl..:

Faghri, Faraz ; Brunn, Fabian ; Dadu, Anant...
The Lancet Digital Health.  4 (2022)  5 - p. e359-e369 , 2022
Link: https://doi.org/10.1016/..
 
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7

A Study of Link Prediction Using Deep Learning:

, In: Communications in Computer and Information Science; Advanced Informatics for Computing Research,
Dadu, Anant ; Kumar, Ajay ; Shakya, Harish Kumar.. - p. 377-385 , 2018
Link: https://doi.org/10.1007/..
 
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8

Imputing KCs with Representations of Problem Content and Co..:

, In: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization,
Pardos, Zachary A. ; Dadu, Anant - p. 148-155 , 2017
Link: https://dl.acm.org/doi/1..
 
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9

Application of Aligned-UMAP to longitudinal biomedical stud..:

Dadu, Anant ; Satone, Vipul K ; Kaur, Rachneet...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318357/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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10

Genetic risk factor clustering within and across neurodegen..:

Koretsky, Mathew J ; Alvarado, Chelsea ; Makarious, Mary B...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629980/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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11

Genetic risk factor clustering within and across neurodegen..:

Koretsky, Mathew J ; Alvarado, Chelsea ; Iwaki, Hirotaka...
info:eu-repo/semantics/altIdentifier/pmid/pmid:37192343.  , 2023
Link: https://pub.dzne.de/reco..
 
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12

Identification and prediction of Parkinson's disease subtyp..:

Dadu, Anant ; Satone, Vipul ; Kaur, Rachneet...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758217/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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13

Multi-modality machine learning predicting Parkinson's dise..:

Makarious, Mary B ; Leonard, Hampton L ; Vitale, Dan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975993/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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14

Multi-modality machine learning predicting Parkinson's dise..:

Makarious, Mary B ; Leonard, Hampton L ; Vitale, Dan...
https://discovery.ucl.ac.uk/id/eprint/10146805/1/s41531-022-00288-w.pdf.  , 2022
Link: https://discovery.ucl.ac..
 
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15

Multi-modality machine learning predicting Parkinson's dise..:

Makarious, Mary B ; Leonard, Hampton L ; Kim, Jonggeol Jeff...
info:eu-repo/semantics/altIdentifier/issn/2373-8057.  , 2022
Link: https://pub.dzne.de/reco..
 
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