
ameliatlm
@ametlm
Computational biologist, Science enthusiast
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Had a lot of fun thinking about the Oppportunities and challenges for biomarker discovery using electronic health record data with @MarylynRitchie @kbjohnsonmd @5inghalp @ametlm - sciencedirect.com/science/articl…
First in person lab meeting zaklab.org in 18 months. Having to relearn lab social protocol w @OwlLabs for those In lab who did not join in person



👏👏👏
So our study finding that in cancer Wnt signalling represses RAS/MAPK signalling and that this repression is is important for preventing senescence of cancer cells ..... 1/n
Happy Halloween 🎃
Congratulations @sangumathi and @OwenRackham !!! Awesome work as always!
EpiMogrify can identify cell culture conditions required to manipulate cell fate and check out our website with these predictions at epimogrify.ddnetbio.com.
Hospitals/informaticians who wish join their colleagues at 96 hospitals across 5 countries can join us for Phase II by filling a very short form at bit.ly/34OFbyo #COVID19 @AMIAinformatics #informatics #ehr
Kudos to consortium members across France, Italy, Germany, USA, and Singapore and thanks to support of @i2b2transmart foundation. end/
Glad to have played a small part in the consortium's rapid response in gathering and comparing COVID related EHR across countries by bringing in Singapore's context. Many thanks to the cohesive taskforce and @zakkohane for the leading us!
COVID international effort: 5 countries, 96 hospitals clinical course by labs on ~28K cases. Key lessons in rapid response data collaborations and in country variation 1/
hahaha this is funny
To my computational genomics students: if I ever catch you pulling nonsense like this, I will go back and retroactively fail you
Congratulations Amelia Tan @ametlm and @SarahRLangley - Ethnicity-specific skeletal muscle transcriptional signatures and their relevance to insulin resistance in Singapore | The Journal of Clinical Endocrinology & Metabolism | Oxford Academic academic.oup.com/jcem/advance-a…
academic.oup.com
Ethnicity-Specific Skeletal Muscle Transcriptional Signatures and Their Relevance to Insulin...
Changes in skeletal muscle transcriptomics underlie differences in insulin resistance in the multiethnic Singaporean population.
Come visit my poster G15 if you want to find out how I use a host of computational strategies to understand the biology of T2D. It will be there till 8pm today! #ISMBECCB19

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