Who's Who of AI

Adam Gayoso

132 trust researcher @adamgayoso.bsky.social · 3,830 followers
AI research Models & releases
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Researcher with public evidence across AI research, Models & releases.

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past 30d
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past 30d
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Machine learning and biology. Research Scientist at Google DeepMind. adamgayoso.github.io. Views are my own.
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Single-cell atlases continue to map the diversity of cell states, but how can we use them to interpret non-coding genetic variants? Excited to share AlphaGenome 2, our model for predicting cell-type-specific regulatory activity and variant effects from DNA sequence. deepmind.g…

AlphaGenome 2: Deciphering how cells read DNA to better understand disease — Google DeepMind deepmind.google
AI Weekly's analysis →
  • AlphaGenome 2 predicts how DNA variants affect gene expression in specific human cell types rather than broad tissue averages.
  • On the TenK10K immune-cell benchmark, the model flagged 30% of causal variants against the first AlphaGenome's 16%.
  • Non-commercial researchers get API access, commercial use is in private preview, and DeepMind says the model is not approved for clinical use.
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View on Bluesky · ♥ 33 ↻ 16 ↩ 2 · 3 from the directory shared this · 1d ago
↻ Adam Gayoso reposted
avsecz.bsky.social @avsecz.bsky.social

AlphaGenome 2 is out! A step change in performance and new capabilities over AG1! Adam's thread covers the key results. Manuscript: storage.googleapis.com/deepmind-med... Blog: deepmind.google/blog/alphage... API: github.com/google-deepm... A few notes under the hood & what's …

GitHub - google-deepmind/alphagenome: This API provides programmatic access to the AlphaGenome model developed by Google DeepMind. github.com
AI Weekly's analysis →
  • AlphaGenome 2 adds cell-type specificity and expression conditioning on user-supplied scRNA-seq data, with imputation across 1 Mb sequences.
  • The AlphaGenome Atlas publishes pre-computed effect scores for 9 billion human variants plus an AlphaGenome Variant Impact (AVI) score.
  • The API is free for non-commercial use; commercial access runs through Google Cloud, and outputs cannot train other ML models.
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 View on Bluesky →

Try AlphaGenome 2: - Code & Python API: alphagenomedocs.com/index.html - E2G & GWAS atlases: deepmind.google.com/science/alph... Read the preprint: storage.googleapis.com/deepmind-med...

storage.googleapis.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 3 from the directory shared this · 1d ago
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