Computational methods and software under development in our laboratory
Computational pipelines for integrating single-cell transcriptomics, epigenomics, and spatial omics data, including cell type annotation, cross-modality alignment, and trajectory inference for neuronal datasets.
Under development
Machine learning frameworks for learning cell embeddings from transcriptomic data, leveraging contrastive learning and language model architectures.
Under development
Probabilistic models for inferring gene regulatory networks from multi-omic data, with applications to identifying master regulators of neuronal fate.
Under development
For inquiries about our computational tools or potential collaborations, please contact us via the Contact page.