Search Results for author: Ziyad Oulhaj

Found 2 papers, 1 papers with code

Deep Mapper: Efficient Visualization of Plausible Conformational Pathways

no code implementations29 Feb 2024 Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Kato, Yuichiro Wada, Hiroaki Kurihara

In our numerical experiments, based on an isometric latent space built on the common 50S-ribosomal dataset, the resulting Mapper graph successfully includes all the well-recognized plausible pathways.

Drug Discovery Topological Data Analysis

Differentiable Mapper For Topological Optimization Of Data Representation

1 code implementation20 Feb 2024 Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

While highly generic and applicable, its use has been hampered so far by the manual tuning of its many parameters-among these, a crucial one is the so-called filter: it is a continuous function whose variations on the data set are the main ingredient for both building the Mapper representation and assessing the presence and sizes of its topological structures.

Topological Data Analysis

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