the Kuramoto model of synchronization that could explain tissue level behavior from individual cells. Here is a nice YouTube video that explain this type of physical behavior with the Cornell professor in dynamic systems and chaos Steven Strogatz:
Posts Tagged ‘to’
Kuramoto Model of Synchronization
March 23, 2022This Price Surge Really Hits New Yorkers Hard – The New York Times
March 17, 2022This Price Surge Really Hits New Yorkers Hard – The New York Times
https://www.nytimes.com/2022/03/07/nyregion/new-york-price-surge.html
Why world leaders are refusing to give Russia their DNA | The Week UK
March 6, 2022https://www.theweek.co.uk/news/world-news/russia/955813/why-world-leaders-refuse-give-russia-dna
Thought this story was intriguing in relation to genomic #privacy & how the pandemic has potentially amplified worries about it. It was presaged by an opinion piece we did a decade ago
(https://USAToday.com/story/opinion/tory/opinion/2013/06/27/dov-greenbaum-and-mark-gerstein-on-nsa-and-genetics/2465589)
VWR(R) N95 Disposable Respirators | VWR
March 6, 2022Valved N95 that I like to wear with a surgical mask on top
https://us.vwr.com/stibo/low_res/std.lang.all/67/42/9356742.jpg
https://www.dropbox.com/s/nxcex66wgw7goo7/VWR-mask-with-valve.product-89201-510.9356742.jpg?dl=0
Shown at
https://us.vwr.com/store/product/4788523/vwr-n95-disposable-respirators but not currently available
science
January 8, 2022Published: 05 January 2022
Decoding gene regulation in the fly brain
Jasper Janssens, Sara Aibar, Ibrahim Ihsan Taskiran, Joy N. Ismail, Alicia Estacio Gomez, Gabriel Aughey, Katina I. Spanier, Florian V. De Rop, Carmen Bravo González-Blas, Marc Dionne, Krista Grimes, Xiao Jiang Quan, Dafni Papasokrati, Gert Hulselmans, Samira Makhzami, Maxime De Waegeneer, Valerie Christiaens, Tony Southall & Stein Aerts Nature (2022)
Nature paper today on Fly brain GRNs, https://doi.org/10.1038/s41586-021-04262-z
Some integrative analyses might be useful…
A wider field of view to predict expression | Nature Methods
November 10, 2021A gene sequence-to-expression machine learning model achieves improved accuracy by incorporating information about potential long-range interactions.
Yang Young Lu and William Staford Noble
The triumphs and limitations of computational methods for scRNA-seq | Nature Methods
November 10, 2021Liked this @KharchenkoLab review – in particular, the descriptions of the various low-dimensional approximations & the simple motivation for these using PCA. Also, found the step-by-step workflow in the text & figures helpful.
Note also the reference to expression entropy for determining the direction in trajectories.
Review Article
Published: 21 June 2021
The triumphs and limitations of computational methods for scRNA-seq
Peter V. Kharchenko
Nature Methods volume 18, pages723–732 (2021)
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