Posts Tagged ‘to’

Beddit Sleep Monitor

December 7, 2022

Genetics goes to Hollywood | Nature Genetics

November 25, 2022

What’s next for AlphaFold and the AI protein-folding revolution

November 25, 2022

Display the file extensions in Finder |

October 30, 2022 {{”
defaults write NSGlobalDomain AppleShowAllExtensions -bool true killall Finder
“}} might have seq. of commands to save all of one’s settings

How to preserve secrets in a quantum age | The Economist

August 20, 2022

Secondary_appt Great article on our faculty growth

August 3, 2022

How ‘Trustless’ Is Bitcoin, Really? – The New York Times

June 18, 2022

Mark Gerstein, a professor of bioinformatics at Yale University, found in the research implications for data privacy. He recently stored a genome on a private blockchain, which allowed for a secure and tamperproof record. But he noted that in a public setting, as with Bitcoin’s blockchain, a data set’s size and subtle patterns made it susceptible to breaches, even as the data remained immutable. (Ms. Blackburn wasn’t tampering with the Bitcoin blockchain’s records.)

“That’s the amazing thing about big data,” Dr. Gerstein said. “If you have a big enough data set, it starts to leak information in unexpected ways.” Even more so when data from different sources are connected, he said: “When you combine one data set with another to make a bigger data set, nonobvious linkages can arise.”


Somatic mutation rates scale with lifespan across mammals | Nature

April 22, 2022

Mutation bias reflects natural selection in Arabidopsis thaliana | Nature

April 14, 2022

Interesting paper, relating de novo mutation rate to epigenetic features. Wonder exactly how this connects to the fact that the background mutation rate in cancer genomes depends strongly on epigenetics.

Important genomic regions mutate less often than do other regions

Biologically informed deep neural network for prostate cancer discovery | Nature

April 12, 2022

At #AACR22, @VanAllenLab gives a nice overview of his paper using an interpretable NN model to get insights into determining cancer severity (
Biologically informed deep neural network for prostate cancer discovery

Liked the way he hard-coded specific genes & pathways into the model & looked in detail where the model misclassified specific patients #AACR22 #AACR2022

Also, thought the hard-coding of genes into the model was similar to that in another interpretable AI approach (for brain disease, Could have used the “rank projection trees” from this to highlight important genes #AACR22 #AACR2022