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Chandana Rajesh

Showing results (1-10 of 5) with videos related to

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Genome Biology|May 10, 2023
Correcting gradient-based interpretations of deep neural networks for genomicsAntonio Majdandzic, Chandana Rajesh, Peter K Koo
Proceedings of Machine Learning Research|May 19, 2023
Selecting deep neural networks that yield consistent attribution-based interpretations for genomicsAntonio Majdandzic, Chandana Rajesh, Amber Tang, et al.
Briefings in Bioinformatics|December 22, 2022
Learning single-cell chromatin accessibility profiles using meta-analytic marker genesRisa Karakida Kawaguchi, Ziqi Tang, Stephan Fischer, et al.
Biorxiv : the Preprint Server for Biology|July 29, 2024
Massive experimental quantification of amyloid nucleation allows interpretable deep learning of protein aggregationMike Thompson, Mariano Martín, Trinidad Sanmartín Olmo, et al.
Science Advances|April 30, 2025
Massive experimental quantification allows interpretable deep learning of protein aggregationMike Thompson, Mariano Martín, Trinidad Sanmartín Olmo, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Genome Biology|May 10, 2023
Correcting gradient-based interpretations of deep neural networks for genomicsAntonio Majdandzic, Chandana Rajesh, Peter K Koo
Proceedings of Machine Learning Research|May 19, 2023
Selecting deep neural networks that yield consistent attribution-based interpretations for genomicsAntonio Majdandzic, Chandana Rajesh, Amber Tang, et al.
Briefings in Bioinformatics|December 22, 2022
Learning single-cell chromatin accessibility profiles using meta-analytic marker genesRisa Karakida Kawaguchi, Ziqi Tang, Stephan Fischer, et al.
Biorxiv : the Preprint Server for Biology|July 29, 2024
Massive experimental quantification of amyloid nucleation allows interpretable deep learning of protein aggregationMike Thompson, Mariano Martín, Trinidad Sanmartín Olmo, et al.
Science Advances|April 30, 2025
Massive experimental quantification allows interpretable deep learning of protein aggregationMike Thompson, Mariano Martín, Trinidad Sanmartín Olmo, et al.
Pageof 1