Assistant Professor, @fredhutch @HutchBasicSci & Translational Data Science IRC. Computational biologist | Single-cell data analysis and modeling.
Seattle, WA
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Very excited to have Mellon out in @naturemethods today!
Mellon accurately estimates cell-state densities using high-dimensional single-cell data, unveiling regulatory dynamics and mechanisms in cell differentiation.
nature.com/articles/s41592-0…
@SettyM @fredhutch
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16 years after arriving in the United States, I am honored and proud to cast my first vote in a Presidential election to a daugher of immigrants, @VP @KamalaHarris !
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My journey from south India to biomedical researcher in the United States is not too dissimilar to the one taken by @KamalaHarris mother. With deep gratitude for all the opportunities I have been provided, my vote is for respect, dignity and a new way forward
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What happens when a high school science teacher spends her summer learning computational biology and coding basics ? Biology and Forensics teacher Dr. Rama Devagupta wrote about her experience in the Setty Lab . Check out our Hutch Teacher Fellowship Blog: Bit.ly/HTFrama
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Are you an early career scientist who wants to pursue a research project in the lab of a Fred Hutch Computational Biologist mentor? If yes, then the #MahanFellowship is for you. Apply by Dec. 20, 2024! Learn more: apply.interfolio.com/157470
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Manu Setty retweeted
Awesome week at Bertinoro #CompBio meeting! Exciting times for cancer evolution x tumor microenvironment! Thank you @SohrabShah @jens_lagergren
Wonderful Bertinoro Computational Biology meeting, Russel Schwarz summarizing a lot of effort going on in the field of modeling tumor biology in the fresco room. Taking place among puring rain around the hill. Thank you for the invitation @SohrabShah @jens_lagergren @elhamazizi
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Join us in this exciting symposium to learn about post-doc opportunities at @HutchBasicSci
Calling everyone interested in #postdoc opportunities @HutchBasicSci!
Join us at the Pathfinders: Postdoc Recruitment Symposium @FredHutch. Explore our research programs, present your work, and network with current postdocs and faculty. Apply by July 8: fredhutch.org/pathfinders
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Very excited to have Mellon out in @naturemethods today!
Mellon accurately estimates cell-state densities using high-dimensional single-cell data, unveiling regulatory dynamics and mechanisms in cell differentiation.
nature.com/articles/s41592-0…
@SettyM @fredhutch
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Re-upping the tweetorial from our bioRxiv post here:
Super excited to present our algorithm, Mellon for computing densities in single-cell landscapes.
biorxiv.org/content/10.1101/…
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Terrific work by @danielcjones in @EvNewell1 lab- Proseg is our go-to cell segmentation for all spatial transcriptomics data!
Using in situ spatial transcriptomics? Try Proseg, @danielcjones’s new cell segmentation method based on probabilistic and Cellular Potts modeling. Great for @vizgen_inc Merscope, @10xGenomics Xenium, and @nanostringtech CosMx data. Preprint & code: (1/n)
doi.org/10.1101/2024.04.25.5…
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The #MahanFellowship supports young scientists in the early stages of their careers. We offer fellows a 21-month stipend as they pursue their proposed research project, alongside a mentor in one of our Herbold Computational Biologist labs. Apply today: apply.interfolio.com/130340
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Manu Setty retweeted
1/8 Today we highlight exciting work from the @SettyM lab that introduces Mellon, a new approach for quantifying cell-state densities from single-cell data with a particular focus on differentiating systems. biorxiv.org/content/10.1101/…
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Deadline this Friday!
Calling all PhD (or equivalent) students within 2 years of graduation or who have graduated in the last year: Join us for an opportunity to visit with faculty at @FredHutch and hear about career opportunities at this world-renowned institution:fredhutch.org/en/events/prim…
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Super excited to present our algorithm, Mellon for computing densities in single-cell landscapes.
biorxiv.org/content/10.1101/…
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We have implemeneted Mellon as a general purpose Gaussian Process function estimator with a number of utilities including super-fast gene trend estimation along pseudo-time for thousands of genes.
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Mellon repository is available at github.com/settylab/mellon, and the pipeline for primed and lineage-specific peak identification (along with other utilities for ATAC metacells) is available at: github.com/settylab/atac_met…
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