Pablo Meyer
@jeriscience
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Rabdomante @IBMresearch Escribí Genómica: https://t.co/e8g8y5DzAi… y Director @DR_E_A_M https://t.co/slIFTtQZsq https://t.co/8sKKshD8MD
New York
Joined April 2009
So here are the results of 2 years of hard work: BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects It's a simple concept: encode DNA variants in your pre-training and get better fine-tunning results. Paper:
arxiv.org
Large language models (LLMs) trained on text demonstrated remarkable results on natural language processing (NLP) tasks. These models have been adapted to decipher the language of DNA, where...
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La UNAM lamenta el fallecimiento de Julieta Fierro, #OrgulloUNAM, investigadora del Instituto de Astronomía, integrante del Sistema Nacional de Investigadoras e Investigadores, en su nivel más alto, y de la Academia Mexicana de la Lengua. Con su voz y dedicación acercó la ciencia
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🧠Can AI agents predict #Alzheimers? Participate in our DREAM challenge agentic track to find out! We provide remarkable training + test data for the agents: snRNA-seq, IHC, stage, etc https://t.co/jeZ49pQ00I Also co-submit your agent paper to https://t.co/iRy3tzaQkC
@Sagebio
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Please easily SNPify your data with our code and tell us about better benchmarks to show the power of being SNP-aware! Code:
github.com
Build foundation model on RNA or DNA data . Contribute to BiomedSciAI/biomed-multi-omic development by creating an account on GitHub.
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Our SNP-aware model is better than when we only use the reference genome.
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We have comparable results to DNA-BERT2 (with less pre-training).
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BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects 1. Researchers have developed BMFM-DNA, a groundbreaking approach to DNA language models that directly integrates Single Nucleotide Polymorphisms (SNPs) and other sequence variations during pre-training. This
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BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects.
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Our paper is out on @arxiv, I am so proud on this work, this is a good summary!
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects 1. Researchers have developed BMFM-DNA, a groundbreaking approach to DNA language models that directly integrates Single Nucleotide Polymorphisms (SNPs) and other sequence variations during pre-training. This
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BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models 1.BMFM-RNA is a new open-source framework for training and benchmarking transcriptomic foundation models (TFMs), with a particular focus on flexibility, modularity, and reproducibility in
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BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models.
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The 3rd DREAM challenge on olfaction prediction is on!
With a contemporary smartphone, capturing, transmitting, and replicating sounds and visuals is a breeze, yet replicating scents remains elusive. If you want to change this, consider joining the 2025 @DR_E_A_M Olfaction Challenge at https://t.co/sNJGvwkZ5j.
@jeriscience
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With a contemporary smartphone, capturing, transmitting, and replicating sounds and visuals is a breeze, yet replicating scents remains elusive. If you want to change this, consider joining the 2025 @DR_E_A_M Olfaction Challenge at https://t.co/sNJGvwkZ5j.
@jeriscience
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Lamentamos profundamente el fallecimiento del doctor Juan Pedro Viqueira Alban, profesor-investigador del @CEHColmex desde 1998. Destacado especialista en historia cultural del periodo novohispano. Referente ineludible en el estudio del pasado y el presente chiapaneco, espacio en
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Dr Ally Louks is in the building. Cambridge PhD student Dr @DrAllyLouks from @Peterhouse_Cam went viral last year when she posted a photo of her thesis on the politics of smell in modern and contemporary prose. Here's her story about what happened next 👇
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Jaime Pensado acaba de publicar esta "historia intelectual" de Jean Meyer. Es fascinante, nos remite al México de los 1960 y 1970 y será muy comentada, espero que para bien https://t.co/XPYEPNz0Ro
cambridge.org
A History of the “Pernicious Foreigner”: Jean Meyer and the Re-writing of the Mexican Revolution During the Global Sixties - Volume 81 Issue 4
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Muy buena Bilo! Octavio Paz vs Arthur Clarke, en la Batalla maquina-humano Siempre gana el humano! La inteligencia como potencia artificial https://t.co/GMsb7YOjtt via @GmoSheridan
eluniversal.com.mx
Quizás alguno de los sesudos intelectuales que rodean a la presidentA podría explicarle la palabra “potencia”. Por ejemplo, declarar ufanamente que México es una “potencia cultural” es algo ofensivo,...
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Vaya falacia, dieron un Nobel por este descubrimiento!
En 1972, el científico francés Michel Siffre se ofreció como voluntario para perder la cabeza. Pasó 180 días solo en una cueva a 440 pies bajo tierra sin: - Reloj. - Sol. - Ningún contacto humano. Lo que descubrió persigue a los científicos hasta el día de hoy:
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