Proteome-wide model for human disease genetics
Statistics and reproducibility This study is based on analysis of large-scale sequencing and variant annotation datasets (UniRef58, UKBB17,…
can it produce the next big breakthrough?
No one could accuse Demis Hassabis of dreaming small. In 2016, the company he co-founded, DeepMind, shocked the…
Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?
The rise in publications addressing the use of general artificial intelligence (GAI), namely large language models (LLMs), for…
Loss of macroevolutionary species fitness explains the rise and fall of clades
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Nucleotide dependency analysis of genomic language models detects functional elements
SpeciesLM training For SpeciesLM metazoa, we obtained metazoan genomes comprising 494 different species from the Ensembl 110 database36.…
CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold
Input embeddings In CellNavi, we use single-cell raw count matrices as the only input. Specifically, the single-cell sequencing…
Spatial architecture of development and disease
Bressan, D., Battistoni, G. & Hannon, G. J. The dawn of spatial omics. Science 381, eabq4964 (2023). Article …
The Biodiversity Cell Atlas: mapping the tree of life at cellular resolution
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CRISPR-GPT for agentic automation of gene-editing experiments
Building AI co-pilot harnessing LLM’s reasoning ability CRISPR-GPT supports four major gene-editing modalities and 22 gene-editing experiment tasks…
Predicting resistance to chemotherapy using chromosomal instability signatures
CIN signatures as biomarkers of chemotherapy resistance The presence of CIN in a tumor has long been recognized…