Bio

Zehua Zeng is currently a visiting PhD Student at the Qiu lab of Department of Genetics at Stanford. Zehua’s Ph.D. work at University of Science and Technology Beijing with Dr. Hongwu Du and Sun-Yet-sen University with Yuanyan Xiong made critical contributions to the field of multi omics analysis and Agent systems, exemplified by the development of OmicVerse for building one of the largest multi-comics algorithm community.

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  • Data Sciences

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  • OmicVerse: a framework for bridging and deepening insights across bulk and single-cell sequencing. Nature communications Zeng, Z., Ma, Y., Hu, L., Tan, B., Liu, P., Wang, Y., Xing, C., Xiong, Y., Du, H. 2024; 15 (1): 5983

    Abstract

    Single-cell sequencing is frequently affected by "omission" due to limitations in sequencing throughput, yet bulk RNA-seq may contain these ostensibly "omitted" cells. Here, we introduce the single cell trajectory blending from Bulk RNA-seq (BulkTrajBlend) algorithm, a component of the OmicVerse suite that leverages a Beta-Variational AutoEncoder for data deconvolution and graph neural networks for the discovery of overlapping communities. This approach effectively interpolates and restores the continuity of "omitted" cells within single-cell RNA sequencing datasets. Furthermore, OmicVerse provides an extensive toolkit for both bulk and single cell RNA-seq analysis, offering seamless access to diverse methodologies, streamlining computational processes, fostering exquisite data visualization, and facilitating the extraction of significant biological insights to advance scientific research.

    View details for DOI 10.1038/s41467-024-50194-3

    View details for PubMedID 39013860

    View details for PubMedCentralID PMC11252408

https://orcid.org/0000-0002-2109-0418