Anjun Ma

According to our database, Anjun Ma authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data.

Yang Li, Anjun Ma, Yizhong Wang, Qi Guo, Cankun Wang, Hongjun Fu, Bingqiang Liu, Qin Ma

Briefings Bioinform., September, 2024

A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data.

Yang Li, Yizhong Wang, Cankun Wang, Anjun Ma, Qin Ma, Bingqiang Liu

Patterns, March, 2024

2023

Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data.

Zhaoqian Liu, Qi Wang, Anjun Ma, Shaohong Feng, Dongjun Chung, Jing Zhao, Qin Ma, Bingqiang Liu

Comput. Biol. Medicine, October, 2023

2022

scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq data.

Haocheng Gu, Hao Cheng, Anjun Ma, Yang Li, Juexin Wang, Dong Xu, Qin Ma

Bioinform., November, 2022

MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data.

Shuangquan Zhang, Lili Yang, Xiaotian Wu, Nan Sheng, Yuan Fu, Anjun Ma, Yan Wang

Bioinform., 2022

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data.

Shuangquan Zhang, Anjun Ma, Jing Zhao, Dong Xu, Qin Ma, Yan Wang

Briefings Bioinform., 2022

Machine learning development environment for single-cell sequencing data analyses.

Lei Jiang, Yuexu Jiang, Cankun Wang, Clement Essien, Juexin Wang, Anjun Ma, Qin Ma, Dong Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder.

Bin Yu, Cheng Chen, Ren Qi, Ruiqing Zheng, Patrick J. Skillman-Lawrence, Xiaolin Wang, Anjun Ma, Haiming Gu

Briefings Bioinform., November, 2021

Prediction of protein-protein interactions based on elastic net and deep forest.

Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu

Expert Syst. Appl., 2021

Network analyses in microbiome based on high-throughput multi-omics data.

Zhaoqian Liu, Anjun Ma, Ewy A. Mathé, Marlena Merling, Qin Ma, Bingqiang Liu

Briefings Bioinform., 2021

2020

IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.

Anjun Ma, Cankun Wang, Yuzhou Chang, Faith H. Brennan, Adam McDermaid, Bingqiang Liu, Chi Zhang, Phillip G. Popovich, Qin Ma

Nucleic Acids Res., 2020

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.

Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma

Bioinform., 2020

QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.

Juan Xie, Anjun Ma, Yu Zhang, Bingqiang Liu, Sha Cao, Cankun Wang, Jennifer Xu, Chi Zhang, Qin Ma

Bioinform., 2020

Clustering and classification methods for single-cell RNA-sequencing data.

Ren Qi, Anjun Ma, Qin Ma, Quan Zou

Briefings Bioinform., 2020

2019

Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.

Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma

Bioinform., 2019

MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome.

Anjun Ma, Minxuan Sun, Adam McDermaid, Bingqiang Liu, Qin Ma

Bioinform., 2019

It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data.

Juan Xie, Anjun Ma, Anne Fennell, Qin Ma, Jing Zhao

Briefings Bioinform., 2019