Zheng Hu

@huzheng1

Computational biologist working on the interface of evolutionary genetics and cancer.

Stanford, CA
Vrijeme pridruživanja: kolovoz 2014.

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  1. proslijedio/la je Tweet
    24. sij

    SCI member is featured in 's technologies to watch in 2020 - her team developed a computational model that explores the dynamics of progression by simulating virtual tumors with patterns of mutation that mimic patient data.

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  2. proslijedio/la je Tweet

    Our new special issue, Cancer Evolution and Metastasis, is now open for submissions! Guest Edited by Christina Curtis and Florian Markowetz . Deadline April 30th 2020.

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    7. sij

    First post-vacation lecture today at : an intereresting talk by Dr. Jose A. Seoane from lab of about how can help to predict response to in

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  4. 6. sij

    Another fascinating study providing genomic evidences of early metastatic seeding now in esophageal adenocarcinoma.

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  5. 4. sij

    Extraordinary work by and colleagues. VERY interestingly, the third cancer driver mutation (likely linked to malignant transformation) occurs when the patients were only 30-40 yrs old. Does this also suggest metastasis often starts many yrs before diagnosis?

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  7. proslijedio/la je Tweet
    16. pro 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    And by the way, I have one PhD and Post Doc position open. If you know someone interested in these lines of work (ecDNA or "classic" somatic evolution), consider working with me in London!

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  8. 15. pro 2019.

    Very excited to be named in this dogma-challenging paper list in the year 2019. Thank you! More evidences for early metastatic spread across cancer types are provided in our follow up study:

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  9. proslijedio/la je Tweet
    12. pro 2019.

    Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body

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  10. proslijedio/la je Tweet
    3. pro 2019.

    Last week we released the November 2019 edition of OUR Top 10 Cancer Research Publications! Curated by the EACR board, we summarise 10 new and exiciting articles in the field! Read it on magazine:

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  11. proslijedio/la je Tweet
    3. pro 2019.

    The PDXNet and EuroPDX consortia have joined forces to perform an important analysis of copy number evolution during cancer xenograft engraftment and passaging. See our biorxiv preprint here:

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  12. proslijedio/la je Tweet
    25. stu 2019.

    My lab at JAX-GM has a postdoc opening for cancer research intersecting genomics, ecology/evolution, imaging, pathology, and machine learning. Diverse backgrounds are welcome for this exciting interdisciplinary work!

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  13. proslijedio/la je Tweet
    25. stu 2019.

    Outstanding work by featured as top 10 cancer research publications from EACR! Congrats Zheng and

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  14. proslijedio/la je Tweet
    18. stu 2019.

    Our paper on “The Mutational Footprints of Cancer Therapies” is out in .

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  15. proslijedio/la je Tweet
    7. stu 2019.

    Our paper showing how chromatin regulators modify response to anthracycline in breast cancer in out in !. Great collaboration between lab and Crabtree lab at .

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  16. proslijedio/la je Tweet
    29. lis 2019.

    (THREAD) Hello! I’m happy to tweet out that the final paper from my DPhil thesis is now out online: “Inferring Tumour Proliferative Organisation from Phylogenetic Tree Measures in a Computational Model” (1/n)

    , , i još njih 7
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  17. proslijedio/la je Tweet
    7. stu 2019.

    Chromatin regulators mediate anthracycline sensitivity in breast cancer by and colleagues

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  18. proslijedio/la je Tweet
    4. stu 2019.

    Variation in the life history strategy of cells underlies tumor's functional diversity

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  19. proslijedio/la je Tweet
    1. stu 2019.

    Happy Awareness Month! Here’s a preprint of “Evolutionary Origins of Recurrent Pancreatic Cancer”. | bioRxiv

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  20. 31. lis 2019.

    Further, these data suggest that the natural course of metastasis is selectively relaxed relative to early tumor development and that metastasis-private mutations are not drivers of cancer spread but are instead associated with drug resistance. 4/4

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