Aleks Goeva (@aleksgoeva) 's Twitter Profile
Aleks Goeva

@aleksgoeva

Show me your neighbors and I'll tell you who you are - the single cell transcriptomics edition. Statistician, postdoc @broadinstitute, @MIA_at_Broad, @TheHDSR

ID: 1311397826866315264

linkhttps://tudaga.github.io/ calendar_today30-09-2020 20:09:48

45 Tweet

278 Followers

603 Following

Sara Stoudt, PhD (@sastoudt) 's Twitter Profile Photo

New from Harvard Data Science Review Early Career Board: Aleks Goeva, Ana Trisovic, K Blu, & I made a zine about Jessica Hullman and Andrew Gelman et al.'s paper "Designing for interactive exploratory data analysis requires theory of graphical inference" Thanks @sarahmirk for the zine tutorial!

Learning Meaningful Representations of Life (@lmrl_bio) 's Twitter Profile Photo

Sorry for the delay, all :) now accepting submissions through October 15, 2021, midnight AOE. Can't wait! Please share! openreview.net/group?id=NeurI…

Learning Meaningful Representations of Life (@lmrl_bio) 's Twitter Profile Photo

We're very excited for LMRL on Tuesday! Accepted Papers and Posters are online: lmrl.org/papers, lmrl.org/posters (on gathertown). Also check our our day-of of live talks lmrl.org/schedule-2021, and our Contributed Talks youtube.com/playlist?list=… See you soon!

Learning Meaningful Representations of Life (@lmrl_bio) 's Twitter Profile Photo

LMRL 2022 Call for Paper is up at lmrl.org/submit. LMRL 2022 will be December 9 (virtual NeurIPS workshop). We look forward to seeing you there!

Aleks Goeva (@aleksgoeva) 's Twitter Profile Photo

Get ready for the Fall #BroadMIA lineup of #pedagogical #CuttingEdge talks at the interface of #MachineLearning and #biology 👩‍🔬🧬💻🧫👩‍💻

Aleks Goeva (@aleksgoeva) 's Twitter Profile Photo

Tune in this morning for Martin Jankowiak’s #BroadMIA talks on Bayesian Variable Selection with exciting #biology applications! Starting in 10 min!

Itai Yanai (@itaiyanai) 's Twitter Profile Photo

Science is unbearable if you hold off on celebrating until the publication of a big paper. The more we enjoy the process, the happier we are.. Celebrate the interesting group meeting, the preparation of a new presentation, the new technique, & the progress our friends are making.

Oana Ursu (@oana__ursu@genomic.social) (@oana__ursu) 's Twitter Profile Photo

Join my group at Genentech and follow your passion for single-cell tumor dynamics! Both experimental and computational positions available. Apply below: Cancer Single-Cell Genomics: lnkd.in/eR2eCqPd Computational Biology: lnkd.in/e7TeHsXg

Join my group at Genentech and follow your passion for single-cell tumor dynamics! 

Both experimental and computational positions available. 

Apply below:
Cancer Single-Cell Genomics: lnkd.in/eR2eCqPd
Computational Biology: lnkd.in/e7TeHsXg
Aleks Goeva (@aleksgoeva) 's Twitter Profile Photo

So excited for Oana Ursu (@[email protected]) and Charlotte Bunne’s talks this Wednesday at #BroadMIA! Tune in at 9AM EST to learn about computational approaches to study single-cell state transitions and responses to perturbation!

Learning Meaningful Representations of Life (@lmrl_bio) 's Twitter Profile Photo

📢 Poster preview kicks off tomorrow at 7:30AM ET and talks follow at 8! Follow live here: lmrl.org. See you soon! #lmrl #NeurIPS2022 #mlbio

Models, Inference & Algorithms at Broad (@mia_at_broad) 's Twitter Profile Photo

MIA Spring ‘23 Speaker Series ⏰ April 5, 9AM EST 💬 Lucy Colwell, Benjamin Sanchez-Lengeling Ben Sanchez-Lengeling 💡Primer: Intro to machine learning for molecules 💡Seminar: ML to predict protein function from sequence ... 📬 Join our mailing list to get the talk link! #BroadMIA

MIA Spring ‘23 Speaker Series

⏰ April 5, 9AM EST

💬 Lucy Colwell, Benjamin Sanchez-Lengeling <a href="/beangoben/">Ben Sanchez-Lengeling</a>

💡Primer: Intro to machine learning for molecules
💡Seminar: ML to predict protein function from sequence ...

📬 Join our mailing list to get the talk link!

#BroadMIA
Maria Brbic (@mariabrbic) 's Twitter Profile Photo

Consider submitting your work to the Machine Learning for Genomics Explorations (MLGenX) workshop at ICLR 2026 ! Join us to unite the worlds of #MachineLearning & #Genomics 🧬 ⏰Submission deadline: February 4, 2024 (AOE).

Zoe Piran (@zoe_piran) 's Twitter Profile Photo

Interested in uncovering biological processes in single-cell data? Check out SiFT, featured in Nature Communications. SiFT peels off layers of known variability and allows studying previously unexplored bio signals. Try it yourself: sift-sc.readthedocs.io. w/ Mor Nitzan Artwork: Reo F.

Interested in uncovering biological processes in single-cell data? Check out SiFT, featured in <a href="/NatureComms/">Nature Communications</a>. SiFT peels off layers of known variability and allows studying previously unexplored bio signals. Try it yourself: sift-sc.readthedocs.io. w/ <a href="/mor_nitzan/">Mor Nitzan</a>
Artwork: Reo F.
Mor Nitzan (@mor_nitzan) 's Twitter Profile Photo

We can often reconstruct a certain layer of information from single-cell data, like their spatial configuration or trajectory, but what can we learn when we peel that layer off? What else is encoded? SiFT is out Nature Communications, Led by Zoe Piran nature.com/articles/s4146… Hebrew University