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Linfang Jiao

Showing results (1-10 of 4) with videos related to

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Frontiers in Genetics|April 21, 2023
MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq dataLinfang Jiao, Yongqi Ren, Lulu Wang, et al.
Biomolecules|May 16, 2023
scTransSort: Transformers for Intelligent Annotation of Cell Types by Gene EmbeddingsLinfang Jiao, Gan Wang, Huanhuan Dai, et al.
Frontiers in Genetics|October 28, 2022
TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformerTao Song, Huanhuan Dai, Shuang Wang, et al.
Briefings in Functional Genomics|April 6, 2024
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulationChangnan Gao, Wenjie Bao, Shuang Wang, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Frontiers in Genetics|April 21, 2023
MulCNN: An efficient and accurate deep learning method based on gene embedding for cell type identification in single-cell RNA-seq dataLinfang Jiao, Yongqi Ren, Lulu Wang, et al.
Biomolecules|May 16, 2023
scTransSort: Transformers for Intelligent Annotation of Cell Types by Gene EmbeddingsLinfang Jiao, Gan Wang, Huanhuan Dai, et al.
Frontiers in Genetics|October 28, 2022
TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformerTao Song, Huanhuan Dai, Shuang Wang, et al.
Briefings in Functional Genomics|April 6, 2024
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulationChangnan Gao, Wenjie Bao, Shuang Wang, et al.
Pageof 1