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Title: Machine Learning for Integrative Genomics lab · GitHub

Open Graph Title: Machine Learning for Integrative Genomics lab

X Title: Machine Learning for Integrative Genomics lab

Description: Machine Learning for Integrative Genomics lab has 25 repositories available. Follow their code on GitHub.

Open Graph Description: Machine Learning for Integrative Genomics lab has 25 repositories available. Follow their code on GitHub.

X Description: Machine Learning for Integrative Genomics lab has 25 repositories available. Follow their code on GitHub.

Opengraph URL: https://github.com/cantinilab

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Integrating paired multimodal single-cell datahttps://doi.org/10.1038/s41467-023-43019-2
Integrating unpaired multimodal single-cell datahttps://doi.org/10.1038/s41467-024-51382-x
Molecular mechanisms from multi-omics single-cell datahttps://doi.org/10.1093/bioinformatics/btae143
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Learning cell fate landscapes from spatial transcriptomics using Fused Gromov-Wassersteinhttps://doi.org/10.1101/2024.07.26.605241
Transcriptomic foundation model for gene network inference and morehttps://doi.org/10.1101/2024.07.29.605556
Towards the next-generation of cell foundation models and benchmarkshttps://doi.org/10.64898/2025.12.11.693702
Benchmark of multi-omics joint Dimensionality Reduction (jDR) approaches in cancer studyhttps://doi.org/10.1038/s41467-020-20430-7
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