Publications

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Conference Papers


LCL: Contrastive Learning for Lineage Barcoded scRNA-seq Data

Published in Proceedings of Machine Learning Research (PMLR) — ICML 2026, 2024

We propose LCL, a contrastive deep learning framework that learns low-dimensional embeddings for single-cell RNA-seq data with lineage barcodes, facilitating the identification of cell fate-determining signatures.

Recommended citation: Yang, S. J., Wang, Y., & Lin, K. Z. (2024). "LCL: Contrastive learning for lineage barcoded scRNA-seq data." bioRxiv. (to appear in PMLR 2026)
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