Jun Yin (@slowwalker919) header
Jun Yin (@slowwalker919) profile picture

Used to be an engineer, a statistician. Now a cancer biologist hooked up with @danliuorg for life.

Joined June 2015
Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)Photo by Jun Yin (@slowwalker919)
The KRAS mutational spectrum and its clinical implications in pancreatic cancer dlvr.it/TD68gz
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Are there any good computational models for predicting protein level based on RNA expression, especially for cell surface proteins (e.g. PDL1) or proteins with post-translational modification? A good model could improve disease biomarkers and find new therapeutic opportunities.
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"Compelling evidence for the role of carboxylic acid in guiding the mosquito's preference toward specific people" cell.com/cell/fulltext/S0092… @CellCellPress
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Join us @theNCI #Computational #ImmunoOncology #virtual workshop, Monday 9/19!! 🤩 Stellar lineup of speakers discussing #multimodal integration, #AI, #deeplearning, and medical discoveries to inform #therapeutic development using #IO #data! bit.ly/3DteGlx @sitcancer
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Representing my friend and ⭐️ fellow @AsaadTrabolsi with his great work on the tumor microenvironment of HRAS mutated #NSCLC at #ESMO22 @GlopesMd @Latinamd @HemOncFellows @SylvesterCancer @carisls – at Paris, France
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A large-scale, whole-genome analysis in Science of over 12,000 cancers reveals previously unreported mutational signatures, including tumor-specific rare signatures. The findings could potentially help enhance personalized cancer treatments and diagnoses. fcld.ly/1cugdml
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Four reasons why I think authorship on academic papers should be more like movie credits:
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Don’t miss @jennifermarksmd’s presentation on MET exon 14 skipping mutations in the mini-oral session on molecular profiling. These mutations are variable and occur in squamous and non-squamous NSCLC. #WCLC22
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New blog post: Add labels to circular heatmap jokergoo.github.io/2022/07/2…
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And the deep learning vs conventional machine learning for tabular data continues! A new paper looks at 45 mid-sized datasets (10k examples) and finds that tree-based models (XGBoost & random forests) still outperform deep neural networks on tabular datasets. [1/6]
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1/ We previously generated a 1M cell scRNA-seq dataset with 24 Type1 Diabetes/Control PBMC samples. Now Daniel Diaz, one of our Bioinformatics Application Scientists, has built a tutorial showing how you can easily analyze this dataset using existing single cell tools.
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Our special issue on #AI for molecular biology we edited for @JMolBiol is out! Check out great papers on AI for #proteinfolding, #microbiome, #3Dgenome and more! Issue sciencedirect.com/journal/jo…? Our editorial sciencedirect.com/science/ar… Ruishan's RNA-ODE paper sciencedirect.com/science/ar…
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10 free websites that are so valuable they feel illegal to know:
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Going to Paris for the first time!!! 🇫🇷🥳 Excited to present our abstract on characteristics/outcomes in HRAS-mutated urothelial #bladdercancer at #ESMO22 Many thanks to my amazing mentors! @JaimeMerchan10 @Latinamd @GlopesMd @AsaadTrabolsi @SamuelKareffMD @slowwalker919 – at Miami, FL
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Oh wow superstar!!!!! Awesome to have you as a collaborator
Thanks @Keira_i3Health for recording my first ever podcast! Still have a ways to go to get to the likes of @NarjustFlorezMD @StephenVLiu @JackWestMD @chadinabhan 😂 Looking forward to the next one @i3health 📻 💻📱
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Super excited to share our new @NatureMedicine paper on #precisioncancer! We use tumor genomes + EHR of >40K cancer patients to identify 458 mutations that predict how a patient responds to specific cancer drugs Paper rdcu.be/cQJvZ Great collab w/ @Roche @genentech 🧵
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People with similar body odors are more likely to hit it off and become friends, according to a new study in @ScienceAdvances. fcld.ly/fmiucsu
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