Anjun Ma

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Qin MaProfessor, Department of Biomedical Informatics, The Ohio State UniversityEmail yang diverifikasi di osumc.edu
Bingqiang LiuSchool of Mathematics, Shandong University, PRCEmail yang diverifikasi di sdu.edu.cn
Cankun WangBiostatistics Senior Analyst, The Ohio State UniversityEmail yang diverifikasi di osumc.edu
Dong XuCurators’ Distinguished Professor, University of MissouriEmail yang diverifikasi di missouri.edu
Yuzhou ChangJoint Post Doc researcher (OSU/BIDMC)Email yang diverifikasi di osu.edu
Juexin WangAssistant Professor, Indiana University IndianapolisEmail yang diverifikasi di iu.edu
Ren Qi (齐忍)Yangtze Delta Region Institute (QuZhou), University of Electronic Science and Technology of ChinaEmail yang diverifikasi di tju.edu.cn
yuexu jiangUniversity of MissouriEmail yang diverifikasi di mail.missouri.edu
Hongjun FuThe Ohio State UniversityEmail yang diverifikasi di osumc.edu
Gang XinThe Ohio State UniversityEmail yang diverifikasi di osu.edu
Adam McDermaidAssistant Professor, Internal Medicine, University of South DakotaEmail yang diverifikasi di usd.edu
Chi ZhangOregon Health & Science UniversityEmail yang diverifikasi di ohsu.edu
yan wangjilin universityEmail yang diverifikasi di jlu.edu.cn
Quan Zou (邹权)University of Electronic Science and Technology of ChinaEmail yang diverifikasi di nclab.net
Tong XiaoPhD student at the Pelotonia Institute for Immuno-oncology at the Ohio State UniversityEmail yang diverifikasi di osumc.edu
Jing ZhaoClinical Assistant Professor, the Ohio State UniversityEmail yang diverifikasi di osumc.edu
Dongjun ChungAssociate Professor, Department of Biomedical Informatics, the Ohio State UniversityEmail yang diverifikasi di osu.edu
Phillip PopovichProfessor of Neuroscience, The Ohio State UniversityEmail yang diverifikasi di osumc.edu
Carter AllenEli Lilly & CompanyEmail yang diverifikasi di lilly.com
Juan XieOhio State UniversityEmail yang diverifikasi di buckeyemail.osu.edu

Ikuti

Anjun Ma

Ohio State University

Email yang diverifikasi di osumc.edu - Beranda

single-cell multi-omics gene regulatory network deep learning computational tool development microbiome


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses J Wang, A Ma, Y Chang, J Gong, Y Jiang, R Qi, C Wang, H Fu, Q Ma, ... Nature communications 12 (1), 1882, 2021	548	2021
Integrative methods and practical challenges for single-cell multi-omics A Ma, A McDermaid, J Xu, Y Chang, Q Ma Trends in biotechnology 38 (9), 1007-1022, 2020	199	2020
Clustering and classification methods for single-cell RNA-sequencing data R Qi, A Ma, Q Ma, Q Zou Briefings in bioinformatics 21 (4), 1196-1208, 2020	176	2020
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting B Yu, W Qiu, C Chen, A Ma, J Jiang, H Zhou, Q Ma Bioinformatics 36 (4), 1074-1081, 2020	164	2020
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique X Wang, B Yu, A Ma, C Chen, B Liu, Q Ma Bioinformatics 35 (14), 2395-2402, 2019	152	2019
Microglia coordinate cellular interactions during spinal cord repair in mice FH Brennan, Y Li, C Wang, A Ma, Q Guo, Y Li, N Pukos, WA Campbell, ... Nature Communications 13 (1), 4096, 2022	133	2022
Androgen conspires with the CD8⁺ T cell exhaustion program and contributes to sex bias in cancer H Kwon, JM Schafer, NJ Song, S Kaneko, A Li, T Xiao, A Ma, C Allen, ... Science immunology 7 (73), eabq2630, 2022	125	2022
Single-cell biological network inference using a heterogeneous graph transformer A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ... Nature Communications 14 (1), 964, 2023	102*	2023
It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data J Xie, A Ma, A Fennell, Q Ma, J Zhao Briefings in bioinformatics 20 (4), 1450-1465, 2019	92	2019
Network analyses in microbiome based on high-throughput multi-omics data Z Liu, A Ma, E Mathé, M Merling, Q Ma, B Liu Briefings in bioinformatics 22 (2), 1639-1655, 2021	86	2021
Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data J Chen, X Wang, A Ma, QE Wang, B Liu, L Li, D Xu, Q Ma Nature Communications 13 (1), 1-13, 2022	84	2022
NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health Brown University TDA Wang Siyuan (Steven) 34, ... Nature aging 2 (12), 1090-1100, 2022	82	2022
Prediction of protein–protein interactions based on elastic net and deep forest B Yu, C Chen, X Wang, Z Yu, A Ma, B Liu Expert Systems with Applications 176, 114876, 2021	79	2021
QUBIC2: A novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data J Xie, A Ma, Y Zhang, B Liu, S Cao, C Wang, J Xu, C Zhang, Q Ma Bioinformatics, 2019	75	2019
A review of matched-pairs feature selection methods for gene expression data analysis S Liang, A Ma, S Yang, Y Wang, Q Ma Computational and structural biotechnology journal 16, 88-97, 2018	72	2018
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework J Yang, A Ma, AD Hoppe, C Wang, Y Li, C Zhang, Y Wang, B Liu, Q Ma Nucleic acids research 47 (15), 7809-7824, 2019	69	2019
Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks J Wang, A Ma, Q Ma, D Xu, T Joshi Computational and Structural Biotechnology Journal 18, 3335-3343, 2020	60	2020
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder B Yu, C Chen, R Qi, R Zheng, PJ Skillman-Lawrence, X Wang, A Ma, ... Briefings in Bioinformatics, 2020	51	2020
Explainable deep hypergraph learning modeling the peptide secondary structure prediction Y Jiang, R Wang, J Feng, J Jin, S Liang, Z Li, Y Yu, A Ma, R Su, Q Zou, ... Advanced Science 10 (11), 2206151, 2023	50	2023
DNNAce: prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion B Yu, Z Yu, C Chen, A Ma, B Liu, B Tian, Q Ma Chemometrics and Intelligent Laboratory Systems 200, 103999, 2020	49	2020

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