Valentina Boeva
@valboeva.bsky.social
Computational Cancer Genomics Group
🔥A very cool piece from Alexander Theus and team is finally on arXiv: arxiv.org/abs/2506.22712
Ever wondered if you can linearly interpolate between transformers and still get a working model? Now you know how. A breakthrough! 🚀
Ever wondered if you can linearly interpolate between transformers and still get a working model? Now you know how. A breakthrough! 🚀
July 4, 2025 at 3:26 PM
🔥A very cool piece from Alexander Theus and team is finally on arXiv: arxiv.org/abs/2506.22712
Ever wondered if you can linearly interpolate between transformers and still get a working model? Now you know how. A breakthrough! 🚀
Ever wondered if you can linearly interpolate between transformers and still get a working model? Now you know how. A breakthrough! 🚀
🚨 New preprint out!
We studied deep learning models for high-resolution DNA accessibility prediction from DNA sequence!
Key takeaway: ConvNeXt V2 blocks consistently boost accuracy.
📖 Preprint: biorxiv.org/content/10.1...
🔗Code: github.com/BoevaLab/ASAP
📦 pip install atac-asap
We studied deep learning models for high-resolution DNA accessibility prediction from DNA sequence!
Key takeaway: ConvNeXt V2 blocks consistently boost accuracy.
📖 Preprint: biorxiv.org/content/10.1...
🔗Code: github.com/BoevaLab/ASAP
📦 pip install atac-asap
June 11, 2025 at 12:57 PM
🚨 New preprint out!
We studied deep learning models for high-resolution DNA accessibility prediction from DNA sequence!
Key takeaway: ConvNeXt V2 blocks consistently boost accuracy.
📖 Preprint: biorxiv.org/content/10.1...
🔗Code: github.com/BoevaLab/ASAP
📦 pip install atac-asap
We studied deep learning models for high-resolution DNA accessibility prediction from DNA sequence!
Key takeaway: ConvNeXt V2 blocks consistently boost accuracy.
📖 Preprint: biorxiv.org/content/10.1...
🔗Code: github.com/BoevaLab/ASAP
📦 pip install atac-asap
Looking forward to meeting the Lausanne AI Center people and giving a talk on predicting enhancer-promoter interactions using our deep ensemble model this Wednesday! memento.epfl.ch/event/ai-cen...
January 13, 2025 at 10:01 AM
Looking forward to meeting the Lausanne AI Center people and giving a talk on predicting enhancer-promoter interactions using our deep ensemble model this Wednesday! memento.epfl.ch/event/ai-cen...
Looking forward to presenting our recent (and yet unpublished) work at UNIL/CHUV next Thursday! If you're in Lausanne and would like to meet, ping me—I’ll be around from Tuesday to Friday!
January 10, 2025 at 3:26 PM
Looking forward to presenting our recent (and yet unpublished) work at UNIL/CHUV next Thursday! If you're in Lausanne and would like to meet, ping me—I’ll be around from Tuesday to Friday!
🚀 New preprint from our lab, Ekaterina Krymova, and @fabiantheis.bsky.social: UniversalEPI, an attention-based method to predict enhancer-promoter interactions from DNA sequence and ATAC-seq🌟 Read the full preprint: www.biorxiv.org/content/10.1... by @aayushgrover.bsky.social, L. Zhang & I.L. Ibarra
November 26, 2024 at 1:40 PM
🚀 New preprint from our lab, Ekaterina Krymova, and @fabiantheis.bsky.social: UniversalEPI, an attention-based method to predict enhancer-promoter interactions from DNA sequence and ATAC-seq🌟 Read the full preprint: www.biorxiv.org/content/10.1... by @aayushgrover.bsky.social, L. Zhang & I.L. Ibarra