Anjun Ma

发表

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

Faith H. Brennan, P. Popovich, Qin Ma, 2020, Nucleic Acids Res..

Elucidation of Biological Networks across Complex Diseases Using Single-Cell Omics.

Lang Li, E. Mathé, Qin Ma, 2020, Trends in genetics : TIG.

RECTA: Regulon Identification Based on Comparative Genomics and Transcriptomics Analysis

Q. Ma, Xin Chen, Chao Liu, 2018, bioRxiv.

RECTA: Regulon Identification Based on Comparative Genomics and Transcriptomics Analysis

Q. Ma, Xin Chen, Chao Liu, 2018, bioRxiv.

Computational elucidation of regulatory network responding to acid stress in Lactococcus lactis MG1363

Q. Ma, Xin Chen, Huansheng Cao, 2018 .

QUBIC2: A novel biclustering algorithm for large-scale bulk RNA-sequencing and single-cell RNA-sequencing data analysis

Chi Zhang, Juan Xie, Bingqiang Liu, 2018, bioRxiv.

PHAT: interpretable prediction of peptide secondary structures

Q. Zou, R. Su, Leyi Wei, 2022 .

The use of single-cell multi-omics in immuno-oncology

Anjun Ma, Gang Xin, Qin Ma, 2022, Nature Communications.

Microglia coordinate cellular interactions during spinal cord repair in mice

Faith H. Brennan, Qi Guo, D. McTigue, 2022, Nature Communications.

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

Dongjun Chung, Anjun Ma, Bingqiang Liu, 2021, bioRxiv.

Explainable deep graph learning accurately modeling the peptide secondary structure prediction

Q. Zou, Leyi Wei, Anjun Ma, 2022, bioRxiv.

SUSD2 suppresses CD8+ T cell antitumor immunity by targeting IL-2 receptor signaling

D. Carbone, Haitao Wen, Weipeng Gong, 2022, Nature Immunology.

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

Yan Wang, Dong Xu, Qin Ma, 2020, bioRxiv.

GraphPred: An approach to predict multiple DNA motifs from ATAC-seq data using graph neural network and coexisting probability

Yan Wang, Anjun Ma, Nan Sheng, 2022, bioRxiv.

Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data

Qi-En Wang, Qin Ma, Anjun Ma, 2022, Nature Communications.

DESSO-DB: A web database for sequence and shape motif analyses and identification

Qin Ma, Anjun Ma, Cankun Wang, 2022, Computational and structural biotechnology journal.

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

Philip D. Blood, Ellen M. Quardokus, Matthew A. Wyczalkowski, 2022, Nature aging.

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

H. Fu, Qin Ma, Anjun Ma, 2022, bioRxiv.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Dong Xu, H. Fu, Juexin Wang, 2021, Nature Communications.

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Dong Xu, Qin Ma, Yuexu Jiang, 2020, Nature Communications.

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

Quan Zou, Anjun Ma, Ren Qi, 2020, Briefings Bioinform..

A Central Edge Selection Based Overlapping Community Detection Algorithm for the Detection of Overlapping Structures in Protein–Protein Interaction Networks

Lan Huang, Bingqiang Liu, Qin Ma, 2018, Molecules.

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

Juan Xie, Qin Ma, Chi Zhang, 2020, Bioinformatics.

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

Bingqiang Liu, Qin Ma, Sha Cao, 2019, Bioinform..

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

Jing Zhao, Juan Xie, Qin Ma, 2019, Briefings Bioinform..

Machine learning development environment for single-cell sequencing data analyses

Juexin Wang, Qin Ma, Anjun Ma, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Transfer Learning of Drug Responses by Integrating Bulk and Single-cell RNA-seq data

Lang Li, Qin Ma, Anjun Ma, 2021, bioRxiv.

Integrative Methods and Practical Challenges for Single-Cell Multi-omics.

Qin Ma, Adam McDermaid, Anjun Ma, 2020, Trends in biotechnology.

Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework

Yan Wang, Bingqiang Liu, Qin Ma, 2019, Nucleic acids research.

Single-Cell Techniques and Deep Learning in Predicting Drug Response.

Dong Xu, Qin Ma, Anjun Ma, 2020, Trends in pharmacological sciences.

Single-cell biological network inference using a heterogeneous graph transformer

Juexin Wang, Duolin Wang, Anjun Ma, 2023, Nature Communications.

DeepMAPS: Single-cell biological network inference using heterogeneous graph

Lingtao Su, Juexin Wang, Qin Ma, 2021 .

Biological network inference from single-cell multi-omics data using heterogeneous graph transformer

Lingtao Su, Juexin Wang, Zihai Li, 2021, bioRxiv.

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

Xiaolin Wang, Bin Yu, Chen Chen, 2020, Briefings in bioinformatics.

Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning

Dongjun Chung, J. Otero, Juexin Wang, 2021, bioRxiv.

Androgen conspires with the CD8+ T cell exhaustion program and contributes to sex bias in cancer

Lei Zhou, Dongjun Chung, L. Fong, 2022, Science Immunology.

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks

Trupti Joshi, Dong Xu, Qin Ma, 2020, bioRxiv.

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

Cheng Chen, Qin Ma, Bin Yu, 2020, Bioinform..

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

Yan Wang, Qin Ma, Anjun Ma, 2021, Briefings Bioinform..

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

Bin Yu, Cheng Chen, Bingqiang Liu, 2020, bioRxiv.

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

Xiaoying Wang, Bin Yu, Bingqiang Liu, 2018, Bioinform..

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

Qin Ma, Anjun Ma, Ewy Mathé, 2020, Briefings Bioinform..

A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis

Sen Liang, Qin Ma, Yan Wang, 2018, Computational and structural biotechnology journal.

RESEPT: tissue architecture inference and visualization from spatially resolved transcriptomics

Dong Xu, Dongjun Chung, Juexin Wang, 2021, bioRxiv.

DeepMal: Accurate prediction of protein malonylation sites by deep neural networks

Bin Yu, Shan Li, Minghui Wang, 2020 .

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

Bingqiang Liu, Qin Ma, Adam McDermaid, 2019, Bioinform..

Spatial omics representation and functional tissue module inference using graph Fourier transform

Garry P. Nolan, S. Rodig, D. Barouch, 2023, bioRxiv.

Computational methods and challenges in analyzing intratumoral microbiome data.

Anjun Ma, Bingqiang Liu, Zhaoqian Liu, 2023, Trends in microbiology.