Bioinformatics and stuff, you know
Singapore
Joined August 2018
- Tweets11
- Following260
- Followers66
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Egor Revkov retweeted
PUREE is a weakly supervised machine learning algorithm that can accurately infer tumor purity from bulk tumor gene expression data: doi.org/10.1038/s42003-023-0… @anders_js, @RevkovEgor
Egor Revkov retweeted
⚡️Preprint: Why do tree-based models still outperform deep learning on tabular data?
We give solid evidence that, on tabular data, achieving good prediction is easier with tree methods than deep learning (even modern architectures) and explore why
hal.archives-ouvertes.fr/hal…
1/9
Egor Revkov retweeted
When you realize that collecting big data is great but in the end you have to chase down the genes and understand how they work
Egor Revkov retweeted
Let's fix academic posters! Prepping a poster for #SIOP19 and sick of the old "wall-of-text" poster design? Watch this cartoon to see a new, faster approach to designing research posters. Includes templates. #betterposter
youtu.be/1RwJbhkCA58
Egor Revkov retweeted
As a budding student of ML, I often find myself re-googling things I've learned/forgotten many times. This afternoon, I decided to toss some favorite resources into one doc for speedy reference. Making it for my own use, but figured why not share the link
sgfin.github.io/learning-res…
Egor Revkov retweeted
"Bag of Tricks for Image Classification with Convolutional Neural Networks" is such a great paper. Really clear, and most importantly, amazing results - >94.5% imagenet with a simple rn50, beating even inception v3!
I'm working on replicating this now with fastai.
Egor Revkov retweeted
"to be explicit about how new statements modify the plot; repetition should facilitate more interactions with ggplot functions, helping newcomers internalize these functions. The flipbook layout is designed to show what code is triggering each change in the plot output."
my #ggplot2 flipbook project is online! 😎🤓🤓 Incrementally walks through plotting code (#MakeoverMonday, soon #TidyTuesday plots). Using #xaringan with reveal function; thanks, @statsgen @grrrck. #rstats. evamaerey.github.io/ggplot_f…
Egor Revkov retweeted
many years of git in, i've developed lots of muscle memory for working around git disasters, but this would have been helpful to me when i was starting out ohshitgit.com/
Egor Revkov retweeted
Identification of somatic mutations in cancer NGS data is NOT a solved problem. Our new ensemble method is just out with much improved accuracy over existing algorithms: dx.doi.org/10.1093/bioinform…
