The invention relates to the technical field of crossing of
bioinformatics and
plant genomics, and discloses a method and
system for constructing a
rice root single
cell type
annotation model, which adopt a double
standardization strategy to integrate
rice root single cell sequencing data from different data sources, can eliminate batch effect in multi-
source data integration, and can improve the accuracy of the
rice root single
cell type
annotation model. Optimizing the specific high-
noise characteristics of the plants, and accurately dividing the single
cell type dynamic continuous pedigree of the rice roots; a gradient lifting
decision tree is utilized to
train the model to learn rice root
single cell sequencing data of different types of rice root single cells through an ordered lifting strategy and a classification feature
processing mechanism, the problems of
class imbalance and high-dimensional sparsity are effectively solved, a high-precision rice root single
cell type annotation model is obtained, and the accuracy of rice root single
cell type annotation is improved. The probability that the rice root single cell to be detected belongs to a certain
cell type can be accurately identified, cell type annotation is carried out, the rice root single cell type annotation efficiency, accuracy and
automation degree are improved, and research of
plant cells is promoted.