Single-cell multi-omics integration using Optimal Transport
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Updated
Aug 14, 2025 - Python
Single-cell multi-omics integration using Optimal Transport
A python framework for microbial natural products data mining by integrating genomics and metabolomics data
Joint analysis single-cell and spatial transcriptomics data with stSCI
End-to-end computational platform for pharmaceutical-grade cancer biomarker discovery. Integrates multi-omics data, machine learning, and clinical validation frameworks for precision oncology applications.
Code repository for "MyeVAE: A multi-omics variational autoencoder for predicting mortality in newly diagnosed myeloma patients"
A multiomics variational autoencoder for risk prediction in newly diagnosed multiple myeloma
2022-2023: A multi-omics biomedical text-mining pipeline for extracting protein-disease associations + a knowledge graph prediciton pipeline to predict protein-disease associations. Leverages biological knowledge bases, PubMed, and biomedical ontologies
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