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Anjun Ma
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2020 – today
- 2024
- [j16]Yang Li, Anjun Ma, Yizhong Wang, Qi Guo, Cankun Wang, Hongjun Fu, Bingqiang Liu, Qin Ma:
Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data. Briefings Bioinform. 25(5) (2024) - [j15]Yang Li, Yizhong Wang, Cankun Wang, Anjun Ma, Qin Ma, Bingqiang Liu:
A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data. Patterns 5(3): 100927 (2024) - 2023
- [j14]Zhaoqian Liu, Qi Wang, Anjun Ma, Shaohong Feng, Dongjun Chung, Jing Zhao, Qin Ma, Bingqiang Liu:
Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data. Comput. Biol. Medicine 165: 107458 (2023) - 2022
- [j13]Shuangquan Zhang, Anjun Ma, Jing Zhao, Dong Xu, Qin Ma, Yan Wang:
Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data. Briefings Bioinform. 23(1) (2022) - [j12]Shuangquan Zhang, Lili Yang, Xiaotian Wu, Nan Sheng, Yuan Fu, Anjun Ma, Yan Wang:
MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data. Bioinform. 38(19): 4636-4638 (2022) - [j11]Haocheng Gu, Hao Cheng, Anjun Ma, Yang Li, Juexin Wang, Dong Xu, Qin Ma:
scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq data. Bioinform. 38(23): 5322-5325 (2022) - [c1]Lei Jiang, Yuexu Jiang, Cankun Wang, Clement Essien, Juexin Wang, Anjun Ma, Qin Ma, Dong Xu:
Machine learning development environment for single-cell sequencing data analyses. BIBM 2022: 3824-3826 - 2021
- [j10]Zhaoqian Liu, Anjun Ma, Ewy A. Mathé, Marlena Merling, Qin Ma, Bingqiang Liu:
Network analyses in microbiome based on high-throughput multi-omics data. Briefings Bioinform. 22(2): 1639-1655 (2021) - [j9]Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu:
Prediction of protein-protein interactions based on elastic net and deep forest. Expert Syst. Appl. 176: 114876 (2021) - 2020
- [j8]Ren Qi, Anjun Ma, Qin Ma, Quan Zou:
Clustering and classification methods for single-cell RNA-sequencing data. Briefings Bioinform. 21(4): 1196-1208 (2020) - [j7]Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma:
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting. Bioinform. 36(4): 1074-1081 (2020) - [j6]Juan Xie, Anjun Ma, Yu Zhang, Bingqiang Liu, Sha Cao, Cankun Wang, Jennifer Xu, Chi Zhang, Qin Ma:
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data. Bioinform. 36(4): 1143-1149 (2020) - [j5]Anjun Ma, Cankun Wang, Yuzhou Chang, Faith H. Brennan, Adam McDermaid, Bingqiang Liu, Chi Zhang, Phillip G. Popovich, Qin Ma:
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq. Nucleic Acids Res. 48(Webserver-Issue): W275-W286 (2020)
2010 – 2019
- 2019
- [j4]Juan Xie, Anjun Ma, Anne Fennell, Qin Ma, Jing Zhao:
It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data. Briefings Bioinform. 20(4): 1449-1464 (2019) - [j3]Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma:
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique. Bioinform. 35(14): 2395-2402 (2019) - [j2]Anjun Ma, Minxuan Sun, Adam McDermaid, Bingqiang Liu, Qin Ma:
MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome. Bioinform. 35(21): 4474-4477 (2019) - [j1]Anjun Ma, Minxuan Sun, Adam McDermaid, Bingqiang Liu, Qin Ma:
MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome. Bioinform. 35(24): 5397 (2019)
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