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scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …
as language and computer vision. Specifically, the combination of large-scale diverse …
Scalable querying of human cell atlases via a foundational model reveals commonalities across fibrosis-associated macrophages
Single-cell RNA-seq (scRNA-seq) studies have profiled over 100 million human cells across
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
diseases, developmental stages, and perturbations to date. A singular view of this vast and …
Just how transformative will AI/ML be for immuno-oncology?
Immuno-oncology involves the study of approaches which harness the patient's immune
system to fight malignancies. Immuno-oncology, as with every other biomedical and clinical …
system to fight malignancies. Immuno-oncology, as with every other biomedical and clinical …
scFormer: a universal representation learning approach for single-cell data using transformers
Single-cell sequencing has emerged as a promising technique to decode cellular
heterogeneity and analyze gene functions. With the high throughput of modern techniques …
heterogeneity and analyze gene functions. With the high throughput of modern techniques …
BIOFORMERS: A SCALABLE FRAMEWORK FOR EXPLORING BIOSTATES USING TRANSFORMERS
Generative pre-trained models, such as BERT and GPT, have demonstrated remarkable
success in natural language processing and computer vision. Leveraging the combination of …
success in natural language processing and computer vision. Leveraging the combination of …