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Computational and Structural Biotechnology Journal|December 9, 2020
Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networksJuexin Wang, Anjun Ma, Qin Ma, et al.Bioinformatics (Oxford, England)|October 17, 2022
scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq dataHaocheng Gu, Hao Cheng, Anjun Ma, et al.Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.Research Square|January 29, 2025
TrimNN: Characterizing cellular community motifs for studying multicellular topological organization in complex tissuesYang Yu, Shuang Wang, Jinpu Li, et al.Nature Communications|August 19, 2025
TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissuesYang Yu, Shuang Wang, Jinpu Li, et al.Briefings in Bioinformatics|October 4, 2021
Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing dataShuangquan Zhang, Anjun Ma, Jing Zhao, et al.Trends in Pharmacological Sciences|November 6, 2020
Single-Cell Techniques and Deep Learning in Predicting Drug ResponseZhenyu Wu, Patrick J Lawrence, Anjun Ma, et al.Research Square|March 30, 2023
Dimension-agnostic and granularity-based spatially variable gene identificationJuexin Wang, Jinpu Li, Skyler Kramer, et al.Biorxiv : the Preprint Server for Biology|August 30, 2023
MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformerXiaoying Wang, Maoteng Duan, Jingxian Li, et al.Briefings in Bioinformatics|July 5, 2019
Clustering and classification methods for single-cell RNA-sequencing dataRen Qi, Anjun Ma, Qin Ma, et al.Pageof 419