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    • scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
    • Position: A Theory of Deep Learning Must Include Compositional Sparsity
    • Hierarchical cross-entropy loss improves atlas-scale single-cell annotation models
    • Score and rank semi-monotonicity for closeness, betweenness, and distance--decay centralities
    • Score and Rank Semi-monotonicity for Closeness, Betweenness and Harmonic Centrality
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scDataset

Jun 3, 2025 · 1 min read
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scDataset is a Python library designed to enable efficient and scalable data loading for deep learning on large-scale datasets.

Last updated on Jun 3, 2025
Python PyTorch Deep Learning Single-Cell Omics Data Loading Bioinformatics Machine Learning Big Data Computational Biology Genomics High-Throughput Data
Davide D'Ascenzo
Authors
Davide D'Ascenzo
Italian National PhD Student in AI

© 2025 Davide D’Ascenzo. This work is licensed under CC BY NC ND 4.0

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