The world did not do enough to prepare for a pandemic. We can avoid making the same mistake with climate change by:
1. Letting science and innovation lead the way
2. Making sure solutions work for poor countries too
3. Getting started now
https://t.co/p9m1j5QuJ7
I'm stunned by the depth of #coronavirus information being released in #Singapore. On this website you can see every known infection case, where the person lives and works, which hospital they got admitted to, and the network topology of carriers, all laid out on a time-series
"I think right now the most thoughtful people in the industry realize that human physicians combined with AI are going to be much better than human physicians alone". Read more in a News Feature from Nature Medicine: https://t.co/42rqcAMuD6
#NewResearch from Lu et al.
'Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting'
https://t.co/HDxqgBfMzX
All the slides from my Bayesian Deep Learning tutorial at MLSS 2019 Moscow, including a practical in Active Learning with jupyter notebooks (practical credit: Ivan Nazarov), are now online
https://t.co/5ZmGwUnAdQ
We present netprioR, a new model for integrating gene–gene similarity data and prior knowledge about gene functions with gene-based covariates, such as phenotypes measured in genetic perturbation screens.
R package: https://t.co/K7OqZqSPzK
Paper: https://t.co/d4ZM4CrfRg.
Thanks to @thomasp85 for making tidygraph and ggraph, took me about 5 minutes to get a graph plot from a tidy dataset 😊 #rstats https://t.co/CEFf5ZYAu9