The invention discloses a key
marker gene-based intelligent
cell type
annotation method, which comprises the following steps of: constructing a static
knowledge base by using known marker genes in a
reference database, and endowing the marker genes with
cell specific weights by using a TF-IDF method, so that the
annotation accuracy and
interpretability are improved. Meanwhile, under the condition that static matching is insufficient, the literature is understood through a large
language model, mark information is extracted, dynamic completion of the
knowledge base is achieved, the defect that updating of a
traditional knowledge base is lagged is overcome, and good adaptability and expansibility are achieved. Besides, static and dynamic matching scores are fused in the
annotation process, so that more robust
cell type identification is realized, annotation requirements of multi-tissue, multi-species and novel cell states are adapted, high-precision and extensible
cell type annotation can be realized in a scene with insufficient reference knowledge or a fuzzy sample, and the annotation efficiency is improved. And the method has good universality and practicability.