Discover and read the best of Twitter Threads about #UMAP
Most recents (3)
Extremely excited to share our work published in Nature Methods!
The first example of shotgun proteomics without liquid chromatography, enabled by ion mobility.
Wonderful collaboration with @nieminm @Pagliarini_Lab @Coon_Labs
@naturemethods nature.com/articles/s4159…
The first example of shotgun proteomics without liquid chromatography, enabled by ion mobility.
Wonderful collaboration with @nieminm @Pagliarini_Lab @Coon_Labs
@naturemethods nature.com/articles/s4159…
Thanks to my collaborators for making this possible and making it awesome.
Thanks to the reviewers for their reasonable comments that made the paper better.
Thanks to the reviewers for their reasonable comments that made the paper better.
This technique forms a central pillar of my labs research
SEEKING POSTDOCS to work in on all aspects of this eco system (applications, data collection, data analysis, and what to do with thousands of proteome profiles we produce?!)
SEEKING POSTDOCS to work in on all aspects of this eco system (applications, data collection, data analysis, and what to do with thousands of proteome profiles we produce?!)
I’m excited to announce the preprint of our paper “Bringing #UMAP Closer to the Speed of Light with #GPU Acceleration” is now available on Arxiv! Special thanks to all the co-authors @viclafargue1, @teju85, @EdwardRaffML, @oatesbag, @zstats @datametrician for making it possible.
This paper describes many design tricks, as well as core principals we followed, to accelerate #UMAP in @rapidsai #cuML and achieve SOA performance. Many of these tricks have been used to accelerate other algorithms in the #GPU computing ecosystem.
This paper was a team effort, and would not have been possible without such a wonderful group of co-authors. I’m very happy with how it turned out.
I am really thrilled to release #AutoSpill onto @biorxivpreprint. It is a novel method for applying compensation to #flowcytometry data, which reduces the error by ~100,000-fold. It is thanks to AutoSpill that we can push machines to their max colours
biorxiv.org/content/10.110…
biorxiv.org/content/10.110…
#AutoSpill is a beautiful example of what #maths can add to #immunology, led by the talented Dr Carlos Roca.
It has really open up my eyes to the potential of #computationalbiology, and is the reason why we have a new #datascience position available:
babrahaminstitute.livevacancies.co.uk/#/job/details/…
It has really open up my eyes to the potential of #computationalbiology, and is the reason why we have a new #datascience position available:
babrahaminstitute.livevacancies.co.uk/#/job/details/…
So how does #AutoSpill work? If you just want to compensate your data, simply upload your single colour controls to autospill.vib.be and then copy the spillover matrix to your #flowcytometry program of choice
@CarlyEWhyte can walk you through the whole process in <2'
@CarlyEWhyte can walk you through the whole process in <2'
