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Maryam May

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

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IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry DataBenjamin S Mashford, Tim Hewitt, Maryam May, et al.
Nature Communications|March 14, 2025
Functionally constrained human proteins are less prone to mutational instability from single amino acid substitutionsMaryam May, Aaron Chuah, Nicole Lehmann, et al.
Bioinformatics (Oxford, England)|June 27, 2025
EDAmame: interactive exploratory data analyses with explainable modelsAaron Chuah, Tim C Hewitt, Sidra A Ali, et al.
Patterns (New York, N.Y.)|May 14, 2026
VoxelCoder: Classification of human cellular phenotypes via autoencoder batch alignment and hyperdimensional representation of cytometry dataBenjamin S Mashford, Timothy Hewitt, Maryam May, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry DataBenjamin S Mashford, Tim Hewitt, Maryam May, et al.
Nature Communications|March 14, 2025
Functionally constrained human proteins are less prone to mutational instability from single amino acid substitutionsMaryam May, Aaron Chuah, Nicole Lehmann, et al.
Bioinformatics (Oxford, England)|June 27, 2025
EDAmame: interactive exploratory data analyses with explainable modelsAaron Chuah, Tim C Hewitt, Sidra A Ali, et al.
Patterns (New York, N.Y.)|May 14, 2026
VoxelCoder: Classification of human cellular phenotypes via autoencoder batch alignment and hyperdimensional representation of cytometry dataBenjamin S Mashford, Timothy Hewitt, Maryam May, et al.
Pageof 1