The performance and flexibility of State set the stage for scaling the development of AI models of cell state, a machine learning model that predicts perturbation effects while accounting for cellular heterogeneity within and across experiments.
Abhinav K. Adduri, Dhruv Gautam, Beatrice Bevilacqua et al.· Cell· 4 citations
Single-cell RNA sequencing has transformed cell biology by enabling precise transcriptomic measurements of individual cells. The Sequence Read Archive (SRA) is the largest public repository of sequencing reads, yet much of it remains underutilized due to unstandardized metadata. Here, we introduce scBaseCount, a databa...
Nicholas D. Youngblut, Christopher Carpenter, Arshia Nayebnazar et al.· Cell· 1 citation
Biomni envisions artificial intelligence augmenting human scientists and accelerating discovery by interpreting multi-modal datasets, optimizing protein stability, orchestrating wet-lab instruments, and generating experimentally testable protocols.
Kexin Huang, Serena Zhang, Hanchen Wang et al.· Science· 19 citations· ⚡2
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.