Rita González Márquez(@ritagonmar) 's Twitter Profileg
Rita González Márquez

@ritagonmar

PhD student at Berens lab @uni_tue & @MPI_IS

ID:1447539217601601545

calendar_today11-10-2021 12:27:08

98 Tweets

234 Followers

155 Following

Dmitry Kobak(@hippopedoid) 's Twitter Profile Photo

Our paper 'The landscape of biomedical research' is out in Patterns journal! Great job by Rita González Márquez.

cell.com/patterns/fullt…

Amazing interactive explorer by Ben Schmidt / @[email protected] from Nomic AI: static.nomic.ai/pubmed.html

For details see my original Twitter thread: twitter.com/hippopedoid/st….

Our paper 'The landscape of biomedical research' is out in @Patterns_CP! Great job by @ritagonmar. cell.com/patterns/fullt… Amazing interactive explorer by @benmschmidt from @nomic_ai: static.nomic.ai/pubmed.html For details see my original Twitter thread: twitter.com/hippopedoid/st….
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Jan Lause 🟦 @janlause.bsky.social🦉(@JanLause) 's Twitter Profile Photo

In their Specious Art paper, Chari & Lior Pachter claim that tSNE/UMAP are as arbitrary as a random elephant shape. But are they?

We show in our comment that this is false and throws the tSNE/UMAP baby out with the bathwater!

Details in 🧵& paper:

biorxiv.org/content/10.110…

1/8

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Lisa Koch(@Lisa_M_Koch) 's Twitter Profile Photo

Yesterday, I started as Assistant Professor for data science in diabetes care at the University of Bern. Thank you for the warm welcome, I am very much looking forward to working with my new colleagues at Insel Gruppe Universität Bern and DCB!

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Nik Böhm(@jnboehm) 's Twitter Profile Photo

We have finally massaged the t-SimCNE code base to be in a state that is hopefully useful to others. The package can now be installed as easy as `pip install tsimcne`. The code is available on github github.com/berenslab/t-si… and the docs are on RTD t-simcne.readthedocs.io/en/latest/ 🧵/6

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ML for Science(@ml4science) 's Twitter Profile Photo

Our in science is about to Start! Join us live via zoom at 9am: zoom.us/j/94774607439
Code: 145437. Entry only with full name. Check out the Full programme here: uni-tuebingen.de/en/ Universität Tübingen Universität Tübingen_exstra

Our #ML in science #conference is about to Start! Join us live via zoom at 9am: zoom.us/j/94774607439 Code: 145437. Entry only with full name. Check out the Full programme here: uni-tuebingen.de/en/ @uni_tue @uni_tue_exstra
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Ben Schmidt / @benmschmidt@sigmoid.social(@benmschmidt) 's Twitter Profile Photo

Great writeup in Science of how our Pubmed paper and interactive viewer can facilitate detection of clusters of fraudulent papers. Explore clusters of retracted papers in the interactive from this link: static.nomic.ai/pubmed.html#re…

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Kamal Nahas(@KLNahas) 's Twitter Profile Photo

Wish there was a quicker way to catch fraudulent papers?

Or to explore the gender gap across biomed research?

Check out this piece I wrote for Science about an atlas of PubMed articles designed to explore these Qs. Dmitry Kobak Rita González Márquez science.org/content/articl…

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Ben Schmidt / @benmschmidt@sigmoid.social(@benmschmidt) 's Twitter Profile Photo

Building on Rita González Márquez's latest additions to our preprint, I've been thinking more about the fraudulent papermill products in our big T-SNE map (static.nomic.ai/pubmed.html). There's one dot between this and modern AI model training especially worth connecting… (1/n)

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Ben Schmidt / @benmschmidt@sigmoid.social(@benmschmidt) 's Twitter Profile Photo

I've updated our interactive visualization to include Rita González Márquez's new data about retracted articles. This highlights clusters that are potentially the product of paper mills. Click through to explore these neighborhoods at static.nomic.ai/pubmed.html#re…

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Tejasav Sehrawat, MD(@TejasavSehrawat) 's Twitter Profile Photo

One of THE MOST interesting big-data analyses that I have read all year! “Interestingly” experimental and clinical research on PubMed segregated quite far apart from each other. Must read for any researcher! Great job Dmitry Kobak, Rita González Márquez and team!

One of THE MOST interesting big-data analyses that I have read all year! “Interestingly” experimental and clinical research on PubMed segregated quite far apart from each other. Must read for any researcher! Great job @hippopedoid, @ritagonmar and team!
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