2 citations · 2 across the 2 of their papers we have counts for
4 papers
annbatch unlocks terabyte-scale training of biological data in anndata
Ilan Gold, Felix Fischer, Lucas Arnoldt +2
The scale of biological datasets now routinely exceeds system memory, making data access rather than model computation the primary bottleneck in training machine-learning models. T…
CellForge: Agentic Design of Virtual Cell Models
Xiangru Tang, Zhuoyun Yu, Jiapeng Chen +12
Virtual cell modeling aims to predict cellular responses to diverse perturbations but faces challenges from biological complexity, multimodal data heterogeneity, and the need for i…
cp_measure: API-first feature extraction for image-based profiling workflows
Alán F. Muñoz, Tim Treis, Alexandr A. Kalinin +4
Biological image analysis has traditionally focused on measuring specific visual properties of interest for cells or other entities. A complementary paradigm gaining increasing tra…
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen +39
The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determ…