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W-R Zhang Lab @ Purdue

Our focus

At the W-R Zhang Lab @ Purdue University (Departments of Biological Sciences and Computer Science), we combine spatial multi-omics, imaging, and clinical data with machine learning and AI to study how tumors organize and evolve, bridging biology and computation where interdisciplinary research sparks breakthroughs.

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Recent research highlights

Computational framework to link functional enrichment gradient with cellular composition

in the tumor microenvironment, providing new

insights into tumor progression.

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MONTAGE: A Computation Framework to Identify Spatially Resolved Functional Enrichment Gradients in the Tissue Microenvironment via Spatial Communities.

Preprint on bioRxiv. Zhang et al. (2025)

https://doi.org/10.1101/2025.04.30.651486

Machine learning algorithm to single-cell spatial omics, breaking analytical barriers to uncover biomarkers for cancer lymph node metastasis.

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Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA. Nature methods. Zhang et al. (2022) https://www.nature.com/articles/s41592-022-01498-z

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