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Pioneers in the emerging imaging omics approach, where imaging morphological data and spatial transcriptomics and proteomics are integrated to study in vivo biological processes
Cancer first starts as single cancer cells and evolves within an ecosystem of multiple cell types in a tissue.
Understandings of the heterogeneity of cancer cells in their cellular ecosystem will allow for early diagnosis, accurate prognosis and targeted treatment of cancer.
The Genomics and Machine Learning Lab is applying imaging genomics to study cancer in every single cells and within their spatial tissue context.
We aim to address long-standing questions on how individual cell types are different and how do these multiple cell types coexist and develop as an ecosystem within a diseased tissue.
Our goal is to find cure for cancer one cell at a time.
Cancer first starts as single cancer cells and evolves within an ecosystem of multiple cell types in a tissue.
Understandings of the heterogeneity of cancer cells in their cellular ecosystem will allow for early diagnosis, accurate prognosis and targeted treatment of cancer.
The Genomics and Machine Learning Lab is applying imaging genomics to study cancer in every single cells and within their spatial tissue context.
We aim to address long-standing questions on how individual cell types are different and how do these multiple cell types coexist and develop as an ecosystem within a diseased tissue.
Our goal is to find cure for cancer one cell at a time.
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论文共 104 篇作者统计合作学者相似作者
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Marc J. Ruitenberg,Quan H. Nguyen
Nature Geneticsno. 3 (2024): 362-364
biorxiv(2024)
Hawaii International Conference on System Sciencespp.2976-2985, (2024)
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IEEE Trans. Netw. Serv. Manag.no. 1 (2024): 418-436
Ellen R. Gillespie,Laura F. Grice, Isabel G. Courtney, Hong Wa Lao,Woncheol Jung, Sonny Ramkomuth, Jacky Xie,David A. Brown,James Walsham,Kristen J. Radford,Quan H. Nguyen,Marc J. Ruitenberg
JOURNAL OF NEUROTRAUMAno. 15-16 (2023): A16-A16
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Ella Thomson,Minh Tran,Gorjana Robevska,Katie Ayers,Jocelyn van der Bergen, Prarthna Gopalakrishnan Bhaskaran,Eric Haan,Silvia Cereghini,Alla Vash-Margita,Miranda Margetts,Alison Hensley,Quan Nguyen,
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biorxiv(2023)
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