https://www.nature.com/articles/s41592-024-02421-4
Singh, A. (2024). LLMs predict protein phases. Nature.
https://doi.org/10.1038/s41592-024-02421-4
https://www.nature.com/articles/s41592-024-02421-4
Singh, A. (2024). LLMs predict protein phases. Nature.
https://doi.org/10.1038/s41592-024-02421-4
https://ebm.bmj.com/content/early/2024/04/16/bmjebm-2023-112583
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Interesting that “alcohol consumption” didn’t rank in the study’s “top 4” lifestyle features. Wonder if this is because it potentially overlaps somewhat with two of the other features (diet & body shape). “}}
Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies FREE
http://orcid.org/0000-0002-2628-7535Zilong Bian1,2, Lijuan Wang1,3, Rong Fan1,2, Jing Sun1, Lili Yu1, Meihong Xu4, Paul R H J Timmers3,5, Xia Shen6, James F Wilson3,5, Evropi Theodoratou3,7, Xifeng Wu1,8, Xue Li1,3
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“The appointment, even if temporary, is significant both for Yale’s reputation and the tech community as a whole,” computer science professor Mark Gerstein wrote to the News. “Leaders in the tech industry serve as pivotal role models and inspirational figures for those pursuing technical professions.”
…
Gerstein said that Shear’s brief stint as OpenAI CEO is especially notable given Yale’s “limited presence in tech leadership” compared to peer schools such as Stanford University and Harvard University. “}}
https://academic.oup.com/bioinformatics/article/39/Supplement_1/i9/7210511
2023 ISCB accomplishments by a senior scientist award: Mark Gerstein Christiana N Fogg, Diane E Kovats, Martin Vingron
Bioinformatics, Volume 39, Issue Supplement_1, June 2023, Pages i9–i10, https://doi.org/10.1093/bioinformatics/btad316
Published: 30 June 2023
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Mark Gerstein, a professor of Biomedical Informatics at Yale University, said there was no question that genomic datasets were driving great medical discoveries. But he said he still would not participate in one himself, and he urged people to consider whether adding their DNA to a database might someday affect their
grandchildren.
“I tend to be a worrier,” he said.
Our collective knowledge of mutations and what illnesses they are associated with — whether Alzheimer’s or schizophrenia — would only increase in the years ahead, he said. “If the datasets leaked some day, the information might be used to discriminate against the children or grandchildren of current participants,” Dr. Gerstein said. They might be teased or denied insurance, he added.
He noted that even if the data was anonymous and secure today, that could change. “Securing the information over long periods of time gets much harder,” he said, noting that Regeneron might not even exist in 50 years. “The risk of the data being hacked over such a long period of time becomes magnified,” he said.
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link to the article about cis-regulatory elements:
https://www.spectrumnews.org/news/toolbox/new-resource-maps-gene-expression-regulation-in-neuron-subtypes/
New resource maps gene expression, regulation in neuron subtypes BY CHLOE WILLIAMS / 1 JULY 2022
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“That’s interesting,” says Mark Gerstein, professor of biomedical informatics at Yale University, who was not involved in the research. The findings might imply that autism affects subtypes of neurons equally, but classifying excitatory and inhibitory neurons into even smaller groups could lead to different results, he says.
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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.”
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https://www.nytimes.com/2022/06/06/science/bitcoin-nakamoto-blackburn-crypto.html
2022-06-08-09.34.24.NY-Times-story-on-bitcoin.x78qt.jpg
2022-06-08-09.36.23.NY-Times-story-on-bitcoin.x78qt.jpg