https://www.statnews.com/2025/05/20/are-seed-oils-healthy-research-omega-6-fatty-acids-rfk-jr/
Posts Tagged ‘clipcacheondisk’
Suffix Array and BWT Explaination
May 18, 2025The book with a nice explanation of suffix array and BWT is
Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau & Pavel Pevzner. https://www.bioinformaticsalgorithms.org/
From target discovery to clinical drug development with human genetics | Nature
May 18, 2025https://www.nature.com/articles/s41586-023-06388-8
Trajanoska, K., Bhérer, C., Taliun, D., Zhou, S., Richards, J. B., & Mooser, V. (2023). From target discovery to clinical drug development with human genetics. Nature, 620(7975), 737–745.
https://doi.org/10.1038/s41586-023-06388-8
Human genetics evidence supports two-thirds of the 2021 FDA-approved drugs
May 17, 2025https://www.nature.com/articles/d41573-022-00120-3
Ochoa, D., Karim, M., Ghoussaini, M., Hulcoop, D. G., McDonagh, E. M., & Dunham, I. (2022). Human genetics evidence supports two-thirds of the 2021 FDA-approved drugs. Nature Reviews Drug Discovery, 21(8), 551. https://doi.org/10.1038/d41573-022-00120-3
Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities | Nature Reviews Neurology
May 17, 2025https://www.nature.com/articles/s41582-020-0389-4
Tabrizi, S. J., Flower, M. D., Ross, C. A., & Wild, E. J. (2020). Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities. Nature Reviews Neurology, 16(10), 529–546. https://doi.org/10.1038/s41582-020-0389-4
AI masters Minecraft: DeepMind program finds diamonds without being taught
April 26, 2025https://www.nature.com/articles/d41586-025-01019-w
Biever, C. (2025). AI masters Minecraft: DeepMind program finds diamonds without being taught. Nature.
https://doi.org/10.1038/d41586-025-01019-w
gen ai book
April 20, 2025Generative Deep Learning: teaching machines to paint, write, compose, and play: Foster, David: 9781492041948: Amazon.com: Books. (n.d.). https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947
World Model page 331
Variational Autoencoders page 59