TranscriptFormer: Generative AI model maps cellular evolution across 1.5 billion years
By
Theofanis Karaletsos
Summary
Researchers developed TranscriptFormer, a generative AI model that creates a cell atlas spanning 1.5 billion years of evolution by analyzing single-cell transcriptomics data across diverse species. The tool enables comparison of transcriptional programs across the tree of life, from ancient organisms to modern species, revealing conserved and divergent cellular programs. This represents a significant advancement in evolutionary developmental biology and single-cell genomics.
Source

Key quotes
· 3 pulledSingle-cell transcriptomics is revolutionizing our understanding of cellular diversity, yet comparing transcriptional programs across the tree of life remains challenging.
We developed TranscriptFormer...
This PDF file includes: Other Supplementary Material for this manuscript includes the following: References and Notes
You might also wanna read
Scientific production in the era of large language models [pdf]
Exploring Music's Evolutionary Roots Through AI and Genetic Algorithms
An exploration of music's deep evolutionary roots, connecting neuroscience research on how brains respond to music with Darwin's speculation
DARPA's Generative Optogenetics Program Aims to Revolutionize DNA/RNA Synthesis Using Light
DARPA's Generative Optogenetics (GO) program aims to revolutionize DNA and RNA synthesis by using light to direct their creation directly wi
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
AI Improves at Improving Itself Using an Evolutionary Trick
The Generative AI Paradox: How Tools Like ChatGPT Threaten the Human Content Ecosystems They Depend On
The article examines the paradoxical nature of generative AI tools like ChatGPT and Claude, which offer tremendous productivity benefits whi
