ChatCell: Facilitating Single-Cell Analysis with Natural Language
As Large Language Models (LLMs) rapidly evolve, their influence in science is
becoming increasingly prominent. The emerging capabilities of LLMs in task
generalization and free-form dialogue can significantly advance fields like
chemistry and biology. However, the field of single-cell biology, which forms
the foundational building blocks of living organisms, still faces several
challenges. High knowledge barriers and limited scalability in current methods
restrict the full exploitation of LLMs in mastering single-cell data, impeding
direct accessibility and rapid iteration. To this end, we introduce ChatCell,
which signifies a paradigm shift by facilitating single-cell analysis with
natural language. Leveraging vocabulary adaptation and unified sequence
generation, ChatCell has acquired profound expertise in single-cell biology and
the capability to accommodate a diverse range of analysis tasks. Extensive
experiments further demonstrate ChatCell's robust performance and potential to
deepen single-cell insights, paving the way for more accessible and intuitive
exploration in this pivotal field. Our project homepage is available at
https://zjunlp.github.io/project/ChatCell.
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Yin Fang
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2024-02-14T10:55:26.857Z
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Yin Fang
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Kangwei Liu
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kangwei liu
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Ningyu Zhang
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Ningyu Zhang
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Xinle Deng
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Xinle Deng
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Penghui Yang
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Penghui Yang
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Zhuo Chen
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Zhuo Chen
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Xiangru Tang
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Xiangru Tang
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Mark Gerstein
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Xiaohui Fan
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Huajun Chen
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2024-02-14T10:56:39.919Z
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Huajun Chen
user
huajunsir
ChatCell: Facilitating Single-Cell Analysis with Natural Language
As Large Language Models (LLMs) rapidly evolve, their influence in science is
becoming increasingly prominent. The emerging capabilities of LLMs in task
generalization and free-form dialogue can significantly advance fields like
chemistry and biology. However, the field of single-cell biology, which forms
the foundational building blocks of living organisms, still faces several
challenges. High knowledge barriers and limited scalability in current methods
restrict the full exploitation of LLMs in mastering single-cell data, impeding
direct accessibility and rapid iteration. To this end, we introduce ChatCell,
which signifies a paradigm shift by facilitating single-cell analysis with
natural language. Leveraging vocabulary adaptation and unified sequence
generation, ChatCell has acquired profound expertise in single-cell biology and
the capability to accommodate a diverse range of analysis tasks. Extensive
experiments further demonstrate ChatCell's robust performance and potential to
deepen single-cell insights, paving the way for more accessible and intuitive
exploration in this pivotal field. Our project homepage is available at
https://zjunlp.github.io/project/ChatCell.
ChatCell leverages natural language and sequence generation to enhance single-cell analysis, improving accessibility and performance in this field.
Large Language Models LLMs single-cell biology vocabulary adaptation unified sequence generation single-cell data single-cell insights