aljoshoh
@aljoshoh.bsky.social
Scientist - data-driven drug and biomarker discovery and development 💊🧬🔢💻
Reposted by aljoshoh
🚨 New preprint
We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.
📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.
📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
September 19, 2025 at 7:45 AM
🚨 New preprint
We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.
📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge.
📄 preprint: doi.org/10.1101/2025...
🧬 code: github.com/scapeML/scape
Reposted by aljoshoh
Currently, there's a lot of interest in quantitative models that would help us understand and predict features of the complex cellular systems that underlie human health and disease - think about virtual cells, for example. On can trace some of these ideas back to the early days of systems biology.
Adapting systems biology to address the complexity of human disease in the single-cell era go.nature.com/3XBo6Vh #Review by @davidsebfischer.bsky.social, Martin A. Villanueva, Peter S. Winter & Alex K. Shalek @broadinstitute.org @mitofficial.bsky.social @ragoninstitute.bsky.social
Adapting systems biology to address the complexity of human disease in the single-cell era - Nature Reviews Genetics
Differences between humans and experimental models create a translational gap that makes it difficult to extrapolate research findings. The authors review systems-focused approaches to identify and co...
go.nature.com
March 13, 2025 at 3:53 AM
Currently, there's a lot of interest in quantitative models that would help us understand and predict features of the complex cellular systems that underlie human health and disease - think about virtual cells, for example. On can trace some of these ideas back to the early days of systems biology.
Reposted by aljoshoh
Good to see moscot-tools.org published in @nature.com ! We made existing Optimal Transport (OT) applications in single-cell genomics scalable and multimodal, added a novel spatiotemporal trajectory inference method and found exciting new biology in the pancreas! tinyurl.com/33zuwsep
Mapping cells through time and space with moscot - Nature
Moscot is an optimal transport approach that overcomes current limitations of similar methods to enable multimodal, scalable and consistent single-cell analyses of datasets across spatial and temporal...
tinyurl.com
January 23, 2025 at 8:42 AM
Good to see moscot-tools.org published in @nature.com ! We made existing Optimal Transport (OT) applications in single-cell genomics scalable and multimodal, added a novel spatiotemporal trajectory inference method and found exciting new biology in the pancreas! tinyurl.com/33zuwsep
Reposted by aljoshoh
Excited to see moscot out in Nature! This was a great collaborative effort, thanks to everyone involved for making this project a success!
Good to see moscot-tools.org published in @nature.com ! We made existing Optimal Transport (OT) applications in single-cell genomics scalable and multimodal, added a novel spatiotemporal trajectory inference method and found exciting new biology in the pancreas! tinyurl.com/33zuwsep
Mapping cells through time and space with moscot - Nature
Moscot is an optimal transport approach that overcomes current limitations of similar methods to enable multimodal, scalable and consistent single-cell analyses of datasets across spatial and temporal...
tinyurl.com
January 23, 2025 at 11:20 AM
Excited to see moscot out in Nature! This was a great collaborative effort, thanks to everyone involved for making this project a success!