Datasets › Dataset for Cell-to-Cell Communications

Dataset for Cell-to-Cell Communications

Introduced by Jorge Torres Gómez et al. in Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things25 Jun 2025 archive 2025-07-28

The dataset evaluates the number of vesicles observed in a Tcell that is close to a tumor cell. It stores the number of vesicles over time and for various distances between the Tcell and the tumor cell. The dataset is a matrix stored in a "mat" file (Matlab), where each row represents a distance and each column corresponds to a time index. The distance ranges from 2 to 10 micrometers, and the time varies from 0 to approximately 160 minutes. We also provide the code to generate this dataset and to plot the corresponding curves.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Dataset for Cell-to-Cell Communications

1 variant name, as the archive lists them.

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