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To understand biological processes, spotting patterns in data is crucial. Traditional correlations can miss nonlinear patterns. Milton Pividori, PhD, and Casey Greene, PhD, introduce a not-only-linear coefficient to help. Learn more ️▶️ bit.ly/47oYj6z Via Elsevier | ScienceDirect

Compartimos este trabajo de Milton en colaboración con Diego Milone, un nuevo método basado en clustering para detectar asociaciones lineales y no lineales en procesos biológicos complejos como la transcriptómica 👇

Pls share: Our lab is hiring for multiple statistical genetics/genomics roles CU School of Medicine CU Department of Biomedical Informatics (DBMI) CU Anschutz Medical Campus Assistant Research Prof: cu.taleo.net/careersection/… Post-doc: cu.taleo.net/careersection/… Program Manager: cu.taleo.net/careersection/… Reach out for more info!

📢 Oportunidad de beca posdoctoral! 👉 tinyurl.com/humanfront

With the release of Llama 3.1 405B, @TogetherCompute built LlamaCoder — an open source web app that can generate an entire app from a prompt. The repo has now been cloned by hundreds of devs on GitHub and starred 2K+ times. More on this project ➡️ go.fb.me/p5o0x0

Muy buen disco "La lógica del escorpión" de Charly García. Que vigencia este Charly! open.spotify.com/album/0k2JGzYR…

Do you want to know more about key types of software tests, practical advice for using popular testing tools like pytest and doctest, and how you can incorporate these into your scientific development workflow? Check out our IT Tip of the Month ▶️ bit.ly/3BHfzbo

If you are attending #ASHG24 #ASHG2024, check out our work with Marc Subirana Granes on integrating gene co-expression networks with genetic studies to understand comorbidities in Down Syndrome.

check out our new preprint led by Yichao (Charles) Zhou and supervised by Mengjie Chen and me doi.org/10.1101/2024.1… where we present scPrediXcan which integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework

We're proud to introduce the next generation of le Chat. Search, PDF upload, coding, image generation, le Canevas... All in one place: chat.mistral.ai mistral.ai/news/mistral-c…

"Si un amor no puede mas que todo, no va vale nada" Que buen tema, by Bajofondo open.spotify.com/track/03PfjjVB…

It's been two years since ChatGPT was released to the public. How have you used it in your work? go.nature.com/3OzJDZR

ChatGPT is two 🎉nature delved into how the chatbot has changed scientists' lives. Milton Pividori, PhD, discussed how scientists are using #AI to draft paper abstracts, grant applications and student support letters, giving them more time for complex tasks ▶️ go.nature.com/4imJwhF

I'm very grateful to CZI Science for their support to allow us to explore the use of AI-Enabled research! Lots of super cool projects are being funded by the Chan Zuckerberg Initiative to incorporate generative AI in science. cziscience.medium.com/pathways-to-ai…

Modern GWAS can identify 1000s of hits but it can be hard to turn this into biological insight. What key cellular functions link genetic variation to disease? I'm excited to present our new work combining associations + Perturb-seq to build interpretable causal graphs! A🧵

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the

Our review article "Genetic studies through the lens of gene networks," led by Marc Subirana Granes and with contributions from our entire lab, is now available online in Annual Reviews 🎉 Access it here: doi.org/10.1146/annure…

Meet the Pividori Lab at CU School of Medicine 🌟 Milton Pividori, PhD, and his team are applying machine learning to advance precision medicine. They’re building a future where complex diseases are met with comprehensive, personalized solutions. Learn more ➡️ bit.ly/3DYMZ6X

Check out our scPrediXcan paper cell.com/cell-genomics/… Led by talented Yichao (Charles) Zhou, supervised by Mengjie Chen and me, with thanks to many contributors scPrediXcan integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework.