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arXiv · 2007.12098

Optimal Transport using GANs for Lineage Tracing

Neha Prasad·Karren Yang·Caroline Uhler
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Abstract

In this paper, we present Super-OT, a novel approach to computational lineage tracing that combines a supervised learning framework with optimal transport based on Generative Adversarial Networks (GANs). Unlike previous approaches to lineage tracing, Super-OT has the flexibility to integrate paired data. We benchmark Super-OT based on single-cell RNA-seq data against Waddington-OT, a popular approach for lineage tracing that also employs optimal transport. We show that Super-OT achieves gains over Waddington-OT in predicting the class outcome of cells during differentiation, since it allows the integration of additional information during training.

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Neha Prasad, Karren Yang, Caroline Uhler. 2020-07-23. Optimal Transport using GANs for Lineage Tracing. https://arxiv.org/abs/2007.12098

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