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Bôdi

@agugumon

Aw aaawa aawaw aaaaaaa

Rio de Janeiro, Brasil Katılım Haziran 2019
75 Takip Edilen21 Takipçiler
Legacy (Fan)
Legacy (Fan)@LegacySiu·
Guess the national team Level: HARD
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Bôdi
Bôdi@agugumon·
Na próxima nem nomeia bando d fdp
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Lightning
Lightning@lightningclare·
When you get down to it Megumi is a genius. He's able to figure out exactly how stupid complex CTs like Love Rendezvous work with no intel and pick up subtle face cues. He's done this TWICE already No wonder Gojo saw potential in him. Like Sukuna in terms of deductive ability
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Bôdi
Bôdi@agugumon·
#NATO IS GONE
GIF
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Bôdi
Bôdi@agugumon·
@cornycracker Mané Taylor Swift eu queria ver o baixinho chamando o Drake de pedofilo porra A Minor neles
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luisa ✠
luisa ✠@cornycracker·
liguei a tv agora pouco e 24x0? kkkkkkkkkkk taylor swift ta mal
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Bôdi
Bôdi@agugumon·
@begninho Eh nisso q dá apostar contra o fluzudo, FAZUÉLI PORRA
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INFORME CIDADAO
INFORME CIDADAO@CidadaoInforme·
Um policial a paisana, pediu para um rapaz ceder o lugar para uma senhora, o rapaz esculachou ele, que sacou a arma e mandou ele descer! @metro_rio
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Bôdi
Bôdi@agugumon·
@Vinheteiro @JeinArtis @Lucca_hf n vou ver o lord punheteiro falando merda sozinho qnd na frança os desgraçados arranjavam 50 mil motivos p fechar as coisas
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Lord Vinheteiro
Lord Vinheteiro@Vinheteiro·
O Brasil é o único país do mundo onde fecha os pontos turísticos nos feriados, e abre os museus e as igrejas nos dias úteis, quando não existem turistas. É por essas e outras que este país não tem futuro. Ninguém quer trabalhar.
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Lucas Paulo de Lima Camillo
Lucas Paulo de Lima Camillo@lucascamillomd·
Thrilled to share our new publication, “Histone mark age of human tissues and cell types,” in Science Advances! TL;DR 🔑 Accuracy: Histone mark ChIP-Seq data can be leveraged to build highly robust age predictors (r > 0.9). 🐕 Interpretation: Top genes are evolutionarily conserved, overlapping with pan-mammalian clocks. ☝️ Single Predictor: One model works across activating and repressive modifications—no conditional needed. 🐍 Open-Source: Models freely available on pyaging. Paper: science.org/doi/epdf/10.11… Code: github.com/rsinghlab/Hist… Our work pays homage to @prof_horvath's 2013 landmark paper on a DNA methylation aging clock. Here, we focus on histone marks, another epigenetic layer. Why bother with histone marks when DNA methylation is cheaper and widespread? Some popular model organisms (e.g., C. elegans, Drosophila) lack meaningful DNA methylation. Moreover, histone marks can be more easily assigned to specific genes and pathways, making biological interpretation more direct. The histone code is also arguably more complex and diverse than DNA methylation. Notably, we discovered certain regions of the genome that simultaneously gain or lose both activating and repressive marks with age. The biological implications remain unclear but it would be interesting to explore whether rejuvenating techniques such as OSK reprogramming can restore such loci to a youthful epigenetic state. Massive thanks to all coauthors, especially Prof. Singh from my alma mater @Brown and the legendary Prof. @prof_horvath. Couldn’t have done it without your guidance! Figures: • 📜 Abstract snippet • 📈 Scatterplot showing cross-validation performance of the pan-histone mark, pan-tissue predictor • 📋 Table of most important protein-coding genes (positive & negative coefficients)
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Samureye
Samureye@Sxmureye·
I know she’s lowkey Hitler but she’s so beautiful idc
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Lucas Paulo de Lima Camillo
Lucas Paulo de Lima Camillo@lucascamillomd·
I’m glad to finally make public what I built over the last several months! CpG Pretrained Transformer (CpGPT) is a foundation model that is an outstanding tool for everything DNA methylation🧬. It achieves SOTA or near SOTA performance in virtually all the tasks I’ve tested so far. Also happy to have the rising start @rv_sehgal, the clock legend @prof_horvath, and the scGPT father @BoWang87 as coauthors for this incredible project.
Bo Wang@BoWang87

Excited to share CpGPT, a new foundation model for DNA methylation, crafted to understand the 'language' of epigenetics! 🧬🤖 What’s CpGPT? CpGPT is a transformer model pre-trained on CpGCorpus, a huge dataset of public DNA methylation info. By integrating sequence, positional, and epigenetic data, it captures complex epigenetic interactions from even a small part of the methylome. 📄 Preprint: biorxiv.org/cgi/content/sh… Why CpGPT? DNA methylation is key for gene expression and chromatin structuring, with CpG sites often varying in diseases like cancer and aging. Here’s what sets CpGPT apart: ✨ CpGPT Highlights: 🔧 Deep Pretraining: Trained on over 100K samples from 1,500+ studies, covering 1M+ CpG sites. 🗺️ Zero-Shot Skills: CpGPT imputes methylation from minimal data, mapping different Illumina arrays to a common reference. 🐭 Cross-Mammalian Reach: When fine-tuned, CpGPT accurately imputes methylation in new mammalian species. 📈 Strong Performance: Fine-tuned CpGPT ranks 2nd overall and 1st on the public leaderboard for age and mortality prediction in the Biomarkers of Aging Challenge. Special shoutout to Lucas (@ollimacsacul) for his outstanding leadership on this project! Big thanks as well to all the co-authors (@rv_sehgal, @prof_horvath, etc.) for their dedication and swift feedback throughout. We're committed to open science and are actively preparing the code. Expect the full code and model weights to be available soon—likely within the next few weeks!

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wendy ♡
wendy ♡@4ltedits·
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