Article

Multimodal learning of transcriptomes and text enables interactive single-cell RNA-seq data exploration with natural-language chats

2024-10-18

Abstract excerpt

Single-cell RNA-seq characterizes biological samples at unprecedented scale and detail, but data interpretation remains challenging. Here we introduce CellWhisperer, a multimodal machine learning model and software that connects transcriptomes and text for interactive single-cell RNA-seq data analysis. CellWhisperer enables the chat-based interrogation of transcriptome data in English language. To train our model,...

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Literature Corpus work: 72ee2046-4189-561c-96e4-e8fdf62a95e8
DOI: 10.1101/2024.10.15.618501

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