Jun Yin

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

[Cancer Cell @Cancer_Cell]

The KRAS mutational spectrum and its clinical implications in pancreatic cancer https://t.co/WduIW6BJHl

[Xiaole Shirley Liu @XShirleyLiu]

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.

[Eric Topol @EricTopol]

"Compelling evidence for the role of carboxylic acid in guiding the mosquito's preference toward specific people"
https://t.co/wredsoM8ux @CellCellPress

[Riyue Sunny Bao, PhD @RiyueSunnyBao]

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!

https://t.co/4qWvz5gtDB @sitcancer

[Antonio Ocejo @ja_ocejo]

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

[Science Magazine @ScienceMagazine]

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. https://t.co/qsR7ZYpFd9

[Kareem Carr, Ph.D. @kareem_carr]

Four reasons why I think authorship on academic papers should be more like movie credits:

[Caris Life Sciences @carisls]

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

[Zuguang Gu | 顾祖光 @jokergoo_gu]

New blog post: Add labels to circular heatmap
https://t.co/oS4vW7EjgD

[Jun Yin @slowwalker919]

@ja_ocejo @JaimeMerchan10 @Latinamd @GlopesMd @AsaadTrabolsi @SamuelKareffMD @UmJmhIMRes @SylvesterCancer @HemOncFellows @LatinxOncology @carisls

[Sebastian Raschka @rasbt]

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]

[Alex Rosenberg @dna_rosenberg]

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.

[James Zou @james_y_zou]

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 https://t.co/EB0gWrXzO6?
Our editorial https://t.co/OXbzcFcd7L
Ruishan's RNA-ODE paper https://t.co/ZcwJHzkIBj

[Zain Kahn @heykahn]

10 free websites that are so valuable they feel illegal to know:

[Antonio Ocejo @ja_ocejo]

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

[Kirk Borne @KirkDBorne]

12 Best #DataScience Courses for Working Professionals in 2022 — compiled by @tut_ml
—————
#BigData #DataScientists #AI #MachineLearning #Python #Coding #100DaysOfCode
https://t.co/ntaoDRKiay

[Jun Yin @slowwalker919]

Oh wow superstar!!!!! Awesome to have you as a collaborator

[Samuel Kareff, MD, MPH @SamuelKareffMD]

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 📻 💻📱

[James Zou @james_y_zou]

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 https://t.co/PZzJCBBoS9
Great collab w/ @Roche @genentech 🧵

[Jun Yin @slowwalker919]

@ScienceMagazine @ScienceAdvances Does that mean we should start to sniff ppl now?