Valentina Boeva
@valboeva.bsky.social
Computational Cancer Genomics Group
Speakers: Dana Pe’er, Marinka Zitnik, Charlotte Bunne, Raul Rabadan, Christina Curtis, Ben Raphael, Anne Carpenter, Elana J. Fertig, and many others! www.aacr.org/meeting/aacr...
Program
Program overview for AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning
www.aacr.org
March 23, 2025 at 11:41 AM
Speakers: Dana Pe’er, Marinka Zitnik, Charlotte Bunne, Raul Rabadan, Christina Curtis, Ben Raphael, Anne Carpenter, Elana J. Fertig, and many others! www.aacr.org/meeting/aacr...
Hi Fena, please add me.
November 27, 2024 at 8:44 PM
Hi Fena, please add me.
🧬UseUniversalEPI for in-silico 3D chromatin modeling in your favorite model! Examples of applications: studies on genetic diseases, cell differentiation, and the regulatory impacts of non-coding variants.
November 26, 2024 at 1:40 PM
🧬UseUniversalEPI for in-silico 3D chromatin modeling in your favorite model! Examples of applications: studies on genetic diseases, cell differentiation, and the regulatory impacts of non-coding variants.
- Tracks chromatin dynamics in processes like macrophage reprogramming and cancer transcriptional states.
- Scalable for both bulk and single-cell chromatin accessibility data.
- Scalable for both bulk and single-cell chromatin accessibility data.
November 26, 2024 at 1:40 PM
- Tracks chromatin dynamics in processes like macrophage reprogramming and cancer transcriptional states.
- Scalable for both bulk and single-cell chromatin accessibility data.
- Scalable for both bulk and single-cell chromatin accessibility data.
🔬 Key Highlights:
- Predicts chromatin interactions across unseen cell types with no retraining.
- Outperforms state-of-the-art models like C.Origami and ChromaFold with Spearman’s Rho > 0.92 in unseen cell types.
- Predicts chromatin interactions across unseen cell types with no retraining.
- Outperforms state-of-the-art models like C.Origami and ChromaFold with Spearman’s Rho > 0.92 in unseen cell types.
November 26, 2024 at 1:40 PM
🔬 Key Highlights:
- Predicts chromatin interactions across unseen cell types with no retraining.
- Outperforms state-of-the-art models like C.Origami and ChromaFold with Spearman’s Rho > 0.92 in unseen cell types.
- Predicts chromatin interactions across unseen cell types with no retraining.
- Outperforms state-of-the-art models like C.Origami and ChromaFold with Spearman’s Rho > 0.92 in unseen cell types.