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Arash Keshavarzi Arshadi

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2024
[j5]
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  dblp key:
  - journals/patterns/ArshadiSKGAYG24
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  - https://dblp.org/rec/journals/patterns/ArshadiSKGAYG24
Arash Keshavarzi Arshadi, Milad Salem, Heather Karner, Kristle Garcia, Abolfazl Arab, Jiann-Shiun Yuan, Hani Goodarzi:
Functional microRNA-targeting drug discovery by graph-based deep learning. Patterns 5(1): 100909 (2024)
2022
[j4]
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  - journals/bmcbi/SalemAY22
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Milad Salem, Arash Keshavarzi Arshadi, Jiann-Shiun Yuan:
AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning. BMC Bioinform. 23(1): 389 (2022)
[j3]
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  - journals/jcheminf/ArshadiSFY22
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Arash Keshavarzi Arshadi, Milad Salem, Arash Firouzbakht, Jiann-Shiun Yuan:
MolData, a molecular benchmark for disease and target based machine learning. J. Cheminformatics 14(1): 10 (2022)
2020
[j2]
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  - journals/bdcc/SalemKAWY20
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Milad Salem, Aminollah Khormali, Arash Keshavarzi Arshadi, Julia Webb, Jiann-Shiun Yuan:
TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model. Big Data Cogn. Comput. 4(3): 16 (2020)
[j1]
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  - journals/frai/ArshadiWSCCGCDK20
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Arash Keshavarzi Arshadi, Julia Webb, Milad Salem, Emmanuel Cruz, Stacie Calad-Thomson, Niloofar Ghadirian, Jennifer Collins, Elena Diez-Cecilia, Brendan Kelly, Hani Goodarzi, Jiann-Shiun Yuan:
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development. Frontiers Artif. Intell. 3: 65 (2020)

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