Jun Yin

479 posts

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Jun Yin

Jun Yin

@slowwalker919

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

Katılım Haziran 2015
219 Takip Edilen57 Takipçiler
Jun Yin retweetledi
Cancer Cell
Cancer Cell@Cancer_Cell·
The KRAS mutational spectrum and its clinical implications in pancreatic cancer dlvr.it/TD68gz
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Xiaole Shirley Liu
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.
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Science Magazine
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. fcld.ly/1cugdml
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Dr Kareem Carr
Dr Kareem Carr@kareem_carr·
Four reasons why I think authorship on academic papers should be more like movie credits:
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Caris Life Sciences
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
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Sebastian Raschka
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]
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Alex Rosenberg
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.
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Zain Kahn
Zain Kahn@heykahn·
10 free websites that are so valuable they feel illegal to know:
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