Tweetovi
- Tweetovi, trenutna stranica.
- Tweetovi i odgovori
- Medijski sadržaj
Blokirali ste korisnika/cu @SurgeBiswas
Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @SurgeBiswas
-
Prikvačeni tweet
This has been a really fun one! challenging the wisdom that one needs a lot of data to do ML guided biodesign. In fact, if you have to choose, think about getting HQ small-N data aligned w your endpoint, vs HT proxy data. low-N ML now helps you succeed w the former!https://twitter.com/grigonomics/status/1220768850834284544 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Using this to calculate tips from now onhttps://twitter.com/peterpur/status/1222454505834450946 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Cool new result in protein design. Multitask from large data to small - transfer learning from a general protein representation to one tailored to a particular function of interest.https://twitter.com/grigonomics/status/1220768850834284544 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
We're hiring a bioinformatician to help us tackle a number of projects involving large scale sequence design, optimization, and analysis:http://plesalab.org/joinus/#0128rabioinf …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
In DC for
#ASMBiothreats, so much cool work here in rapid countermeasure response for new pathogens! If you are working on this, I want to talk#proteinengineering - dms open.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Great work on using ML for protein engineering. Key insights: - fine-tuning global LM using local landscape helps - pretrained model can predict epistatic effects from single mutants
@SurgeBiswas@grigonomics@EthanAlley@kesvelt@geochurch https://www.biorxiv.org/content/10.1101/2020.01.23.917682v1.full.pdf …pic.twitter.com/cjOvH6jiwf
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
This was fantastic! The PC1 correlation is actually just amazing.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Interesting potential for ML-guided protein engineering: might be able to systematically optimize proteins after just a few choice measurements. Check out this new preprint from
@SurgeBiswas@geochurch and team.https://twitter.com/SurgeBiswas/status/1220792263783043072 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
won't stop me from working on ways to get big-N, but sometimes small-N is hard enoughhttps://twitter.com/SurgeBiswas/status/1220792263783043072 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Super cool work from
@SurgeBiswas,@grigonomics,@EthanAlley,@kesvelt, and@geochurch! Efficiently identifying mutant proteins with higher activity using ML, i.e., eUniRep. Congrats!!!https://twitter.com/SurgeBiswas/status/1220792263783043072 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Had an early look at this work and it’s really impressive stuff! Demonstrates the remarkable power of semi-supervised learning in very low N contexts.https://twitter.com/grigonomics/status/1220768850834284544 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Our new paper! My favorite bits were: - Discovering WAY more functional proteins out there (1000+!!) then previously explored by evolution OR decades of engineering - Connecting engineering and tech-translation failures with Goodhart's law -
@grigonomics 's first thread :Phttps://twitter.com/grigonomics/status/1220768850834284544 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hope you enjoy the read! We haven't submitted this anywhere yet so feedback and venue/journal suggestions welcome! DMs open
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
As always, inspiring to work with and learn from
@grigonomics and@EthanAlley, and have the mentorship of@kesvelt and@geochurch :)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For the ML folks reading this, we're excited by the extreme data-efficiency we saw here, and for forward design of a complicated natural object no less. Another feather in the cap of unsupervised/semi-supervised learning, no doubt!
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
*Turns off FACS machine*https://twitter.com/ZoherGueroui/status/1214841073069174785 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
11/10 opportunity to work for a great company,
@PathAI, with an insanely fun and smart person!https://twitter.com/amarotaylorw/status/1218193630785089536 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
It's time to replace λBeta in MAGE, DIvERGE and ssDNA recombineering! By analyzing 100s of proteins, we have identified 2 that allow E.coli oligo-recombineering with up to 50% efficiency, increase multiplexability + allow MAGE in P. aeruginosa https://www.biorxiv.org/content/10.1101/2020.01.14.906594v1 …pic.twitter.com/2h1yPjQbia – mjesto: Harvard Medical School New Research Building
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Surge Biswas proslijedio/la je Tweet
Very happy to release publicly the RedBeta-killer, CspRecT. This protein enables 50% editing efficiency with single-stranded oligos in E. coli recombineering! Performance improves even more for multiplex applications like MAGE and DiVERGE.https://www.biorxiv.org/content/10.1101/2020.01.14.906594v1 …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A short and sweet ;) read. So little we understand about glycobio but a major limiting factor for therapeutic dev. Also gets relatively little academic attention (vs DNA/RNA/proteins), but prob lots of siloed industry knowledge Tools like these democratize their understanding!https://twitter.com/daniel_bojar/status/1216399835739410432 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.
- a framework for low-N protein engineering with data-efficient deep learning! Had a blast working with brilliant