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Posts by Saya Sedighi

Thank you for the opportunity to present my work and congratulations to Iryna 🎉✨

10 months ago 1 0 0 0
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Had an awesome time presenting my work today at #Glyco27! Only Day 2 and I’ve already had great discussions, heard some really inspiring talks, and met amazing people ✨. Big thanks to the organizers for the opportunity!

@gingraslab.bsky.social
@glyconet.bsky.social
@laurakiessling.bsky.social

10 months ago 8 3 0 0
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Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data - Nature Communications Spatial expression assays are affected by segmentation errors leading to difficulty interpreting cell types. Here, the authors introduce a machine learning model to infer cell types accounting for suc...

How can we quantify single cell expression from multiplexed imaging datasets given segmentation errors?

To help tackle this, we introduce evaluation metrics, a gold-standard dataset, and STARLING—a new probabilistic machine learning method (1/4)

www.nature.com/articles/s41...

1 year ago 30 10 2 3
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New year, new job? A position of 🧪 🦠 Clinical Diagnostics Project Manager 🦠 🧪 is available with our pandemic preparedness project PRECISE at Sinai Health in Toronto (closes Jan 12) - have a look at the position and apply here:

apply.interfolio.com/160789.

1 year ago 6 6 0 1
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Instead of listing my publications, as the year draws to an end, I want to shine the spotlight on the commonplace assumption that productivity must always increase. Good research is disruptive and thinking time is central to high quality scholarship and necessary for disruptive research.

1 year ago 1150 375 21 57

1. I feel like this is such obvious advice that it gets taken for granted & consequently no one says this to young scientists but READ PAPERS, read all the papers. As you move up in your career you will have less & less time to do this. Read everything that appeals to you not just in your field

1 year ago 412 154 7 27
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Extracellular proximal interaction profiling by cell surface–targeted TurboID reveals LDLR as a partner of liganded EGFR A modified form of TurboID identifies extracellular interactions between transmembrane proteins.

In a new #ScienceSignaling study, researchers introduce extracellular #TurboID, a refinement of the popular proteomics tool that interrogates #ProteinProteinInteractions on the exterior cell membrane, and characterize interactions between #EGFR and #LDLR. scim.ag/3DgfJr9

1 year ago 53 10 0 1

Writing is thinking.

It’s not a part of the process that can be skipped; it’s the entire point.

1 year ago 6805 1779 157 149

The “P.S. “ was a really nice reminder 👏 thanks for sharing !

1 year ago 1 0 0 0
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The growth of this community is amazing. I started a starter pack to bing the proteomics community together and accelerate this further
Proteomics - go.bsky.app/GYoxs2r
Please let me know if I missed you. I will curate this pack as new people gather under the blue sky
#proteomics #team-massspec

1 year ago 21 4 6 0

The unofficial FeMS starter pack (until they join us on Bluesky :) anyway. If you're a woman working with a mass spectrometer please ask to be added! All women are welcome!

go.bsky.app/PUwu7fr

1 year ago 60 30 19 0

Thanks for starting this ! I would really appreciate being added ✨

1 year ago 1 0 0 0

Thank you AC ✨

1 year ago 0 0 0 0

Hehe thank you so much Nico !! 🚀

1 year ago 0 0 0 0

@cnpn-org.bsky.social

1 year ago 0 0 0 0
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Had an amazing time at this year's CNPN! So happy to have presented during Trainee Day Talks and honored to win the Poster Award. Congrats to my lab mates Vesal and Cassandra for the Rising Stars travel awards, and Bilan for the Abstract travel award—so well deserved ✨🎉

@gingraslab.bsky.social

1 year ago 20 1 3 0

@shriyakamat.bsky.social Great talk and super cool project ✨👏

1 year ago 3 0 0 0