Daniele Scarcella @_scarc_

Ph.D. Candidate in Computational Biology at the Carsten Marr lab @HelmholtzMunich. Munich, Germany Joined November 2020

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Lisa Sikkema @SikkemaLisa

3 months ago

Analyzing your single-cell data by mapping to a reference atlas? Then how do you know the mapping actually worked, and you’re not analyzing mapping-induced artifacts? We developed mapQC, a mapping evaluation tool biorxiv.org/content/10.110… from the @fabian_theis lab. Let’s dive in🧵

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Valentin Koch @ValentinKoch_

a year ago

Excited to introduce DinoBloom🦖🌺, an open-source foundation model family (Vit-S to G) for general cell embeddings in #hematology🩸 Trained w mod. #DINOv2 on 13 datasets w 380,000+ WBC images of blood & bonemarrow. Evaluated on AML subtype & cell classification (knn, lin probe)

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Sophia J. Wagner @sophiajwagner

2 years ago

⚡️Want to save compute when training your feature extractor for histopathology?🔬💻#CPath Study on 1(!) GPU for 2 CRC tasks led by our fantastic master student @roth_benedikt13, co-supervised with @ValentinKoch_ pre-print: arxiv.org/abs/2401.04720 code: github.com/beneroth13/din… 1/

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MIT CSAIL @MIT_CSAIL

2 years ago

Happy birthday to the late Claude Shannon, whose compression equation is how you’re here right now: bit.ly/1RoxfHu (credit: Gizmodo)

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Zain Kahn @heykahn

2 years ago

The world's most valuable skill: Effective decision-making. But colleges eat up 4 years of our lives and don't even bother teaching it. 10 quick lessons from psychology that will upgrade your decision-making in the next 5 minutes:

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Andrea Santoro @andreasantor0

3 years ago

Do you want to know more about the temporal evolution of higher-order dependencies within multivariate time series? Finally out my first work while at @EPFL, in a fantastic collaboration with the triumvirate @fede7j, @lordgrilo and @Enri_amico. Soon a 🧵/recap on the paper!

Enrico Amico @Enri_amico

4 years ago

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Google DeepMind @GoogleDeepMind

4 years ago

Published today in @naturemethods together with colleagues from @calico: Enformer - a transformer model that has led to greatly increased accuracy in predicting gene expression from DNA sequence. Blog: dpmd.ai/enformer Paper: dpmd.ai/naturemethods_… 1/

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Demis Hassabis @demishassabis

4 years ago

Brief update on some exciting progress on #AlphaFold! We’ve been heads down working flat out on our full methods paper (currently under review) with accompanying open source code and on providing broad free access to AlphaFold for the scientific community. More very soon!