Dokyoon Kim

@dokyoon_kim

Assistant Professor of Informatics at University of Pennsylvania

Vrijeme pridruživanja: studeni 2016.

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  1. proslijedio/la je Tweet
    5. velj

    The Biomedical Informatics Roundtable Podcast by & . Tune in for discussion about a wide variety of & topics. Available on , , &

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  2. proslijedio/la je Tweet

    Our fourth episode has been released! We discuss informatics journals & present a paper on deep phenotyping. We also discuss what to do if someone else has your research idea.

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  3. proslijedio/la je Tweet
    22. sij

    Why is important for tackling complex human disease genetics

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  4. proslijedio/la je Tweet
    14. sij

    Really happy to start to make FinnGen results more broadly available!

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  5. proslijedio/la je Tweet
    7. sij

    Just learned about intrinsically disordered proteins and the available prediction resources from Lukasz Kurgan. Really cool stuff!

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  6. proslijedio/la je Tweet
    7. sij

    Excited to hear Ifeoma Anunwa’s talk this evening. Such an important topic for all of us.

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  7. proslijedio/la je Tweet
    6. sij

    Jie Has inspired by deep learning advances (summarized, … ) want to integrate mutation, histopathology in interpretable prediction of survival

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  8. 6. sij

    Jie Hao presented interpretable and integrative deep learning for survival analysis using histopathological images and genomic data (PAGE-Net). The source code of PAGE-Net is publicly available at

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  9. proslijedio/la je Tweet
    6. sij

    The pattern recognition session at got a huge number of submissions reflective of the exploding interest in , , and .

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  10. proslijedio/la je Tweet
    5. sij

    This was a very interesting talk by Jiayi (Jessie) Tong from 's lab here at Topic was how to allow data analysis across health systems without sharing patient-level data

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  11. proslijedio/la je Tweet
    5. sij

    Now a talk about privacy & biobanks at Topic is about how to analyze phenotypes that a clinical researcher would find interesting but that the original biobank organizers didn't calculate--& doing this from _summary data_ Also, adjusting for covariates from summary data

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  12. proslijedio/la je Tweet
    5. sij

    Ten things we have to do to achieve precision medicine - via

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  13. 5. sij
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  14. proslijedio/la je Tweet
    5. sij

    Here is the Github account for the TPOT software I am speaking about at

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  15. proslijedio/la je Tweet
    5. sij

    Joanna Mountain from talking about research studies conducted using their vast stores of genetic and phenotypic data - See all their publications here ->

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  16. proslijedio/la je Tweet
    5. sij

    point from 's Joanna Mountain- so many people don't understand what the heck research is! reminds me of one of my favorite quotes, often thought of when the path forward is unclear- "If we knew what we were doing, they wouldn't call it research."

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  17. proslijedio/la je Tweet
    5. sij

    Matt’s guess at what we have discovered so far. We have very little understanding of low frequency variants, uncommon phenotypes, and longitudinal phenotypes. Lots of work to do ahead of us.

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  18. proslijedio/la je Tweet
    5. sij

    Matt Nelson (Deerfield): talking about how drug-target indications that have genetic support are twice as likely to be successful in subsequent clinical trials than those that don't have genetic support. Paper here.

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  19. proslijedio/la je Tweet
    5. sij

    . was a rockstar at just now. And what is perhaps most important to me is how she gave credit to her entire team and collaborators for their hard work & contributions to the fantastic talk she gave. Collegiality is SO under-appreciated in precision health.

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  20. proslijedio/la je Tweet
    4. sij

    Time for the Translational Bioinformatics Workshop at - come learn about biobanks and precision medicine

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