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Saleena Younus

Showing results (1-10 of 4) with videos related to

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Frontiers in Artificial Intelligence|May 9, 2024
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experienceSaleena Younus, Lars Rönnstrand, Julhash U Kazi
Computational and Structural Biotechnology Journal|November 11, 2025
Understanding the characteristic behaviour of the wild-type and mutant structure of FLT3 protein by computational methodsSaleena Younus, Özge Tatli, Ahmad Nasimian, et al.
Journal of Biomolecular Structure & Dynamics|July 13, 2022
A new approach used in docking study for predicting the combination drug efficacy in EML4-ALK target of NSCLCSaleena Younus, S S Vinod Chandra, Junaida Ibrahim, et al.
Patterns (New York, N.Y.)|January 24, 2024
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular dataAhmad Nasimian, Saleena Younus, Özge Tatli, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|May 9, 2024
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experienceSaleena Younus, Lars Rönnstrand, Julhash U Kazi
Computational and Structural Biotechnology Journal|November 11, 2025
Understanding the characteristic behaviour of the wild-type and mutant structure of FLT3 protein by computational methodsSaleena Younus, Özge Tatli, Ahmad Nasimian, et al.
Journal of Biomolecular Structure & Dynamics|July 13, 2022
A new approach used in docking study for predicting the combination drug efficacy in EML4-ALK target of NSCLCSaleena Younus, S S Vinod Chandra, Junaida Ibrahim, et al.
Patterns (New York, N.Y.)|January 24, 2024
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular dataAhmad Nasimian, Saleena Younus, Özge Tatli, et al.
Pageof 1