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Yanying Yu

@yanyingyu.bsky.social
25 followers 31 following 1 posts

Computational Biology Research Fellow in van Opijnen Lab (www.vanopijnenlab.com) at Boston Children's Hospital. #scRNA #MachineLearning #CombatAntibioticResistance #SequencingAnalysis #CatMom. Also NH48 4000-footer bagger, runner, and climber.

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Reposted by Yanying Yu
The Lancet Infectious Diseases @thelancetinfdis.bsky.social · 16/12/2025
New Research Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 www.thelancet.com/journals/lan...
thelancet.com
Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
This comprehensive analysis underscores both the gains achieved through vaccination and the challenges that remain in controlling the LRI burden globally. Furthermore, it demonstrates persistent dispa...
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Reposted by Yanying Yu
Nature Microbiology @natmicrobiol.nature.com · 19/12/2025
#NewResearch S protein from Streptococcus pneumoniae activates cell wall repair and modification to promote virulence against in vivo antimicrobial pressures including lysozyme and LL-37 @veeninglab.com #MicroSky 🦠 www.nature.com/articles/s41...
nature.com
Pneumococcal S protein coordinates cell wall modification and repair to resist host antimicrobials - Nature Microbiology
Streptococcal S protein activates a peptidoglycan cell wall repair and modification complex to promote resistance of Streptococcus pneumoniae to lysozyme and LL-37, and increase virulence during infec...
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Yanying Yu @yanyingyu.bsky.social · 16/12/2025
Our new paper from my PhD work is online. It shows how bacterial population structure can trick machine learning—sampling matters! Many thanks to @lbarquist.bsky.social for the support and guidance! dx.plos.org/10.1371/jour...
dx.plos.org
Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance
Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven b...
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Reposted by Yanying Yu
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 09/12/2025
I'm teaching Statistical Rethinking again starting Jan 2026. This time with live lectures, divided into Beginner and Experienced sections. Will be a lot more work for me, but I hope much better for students. I will record lectures & all will be found at this link: github.com/rmcelreath/s...
course schedule as a table. Available at the link in the post.
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Reposted by Yanying Yu
Stephen Turner @stephenturner.us · 11/12/2025
eggNOG v7: phylogeny-based orthology predictions and functional annotations academic.oup.com/nar/advance-...
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