Qin Ma
Qin Ma
Associate Professor, Department of Biomedical Informatics, Ohio State University
Verified email at - Homepage
Cited by
Cited by
QUBIC: a qualitative biclustering algorithm for analyses of gene expression data
G Li, Q Ma, H Tang, AH Paterson, Y Xu
Nucleic acids research 37 (15), e101-e101, 2009
DOOR 2.0: presenting operons and their functions through dynamic and integrated views
X Mao, Q Ma, C Zhou, X Chen, H Zhang, J Yang, F Mao, W Lai, Y Xu
Nucleic acids research 42 (D1), D654-D659, 2014
Caldicellulosiruptor core and pan genomes reveal determinants for non-cellulosomal thermophilic deconstruction of plant biomass
SE Blumer-Schuette, RJ Giannone, JV Zurawski, I Ozdemir, Q Ma, Y Yin, ...
Journal of Bacteriology, 2012
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), 1-11, 2021
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
C Chen, Q Zhang, B Yu, Z Yu, PJ Lawrence, Q Ma, Y Zhang
Computers in Biology and Medicine 123, 103899, 2020
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
C Chen, Q Zhang, Q Ma, B Yu
Chemometrics and Intelligent Laboratory Systems 191, 54-64, 2019
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
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, 2019
Interpretation of differential gene expression results of RNA-seq data: review and integration
A McDermaid, B Monier, J Zhao, B Liu, Q Ma
Briefings in bioinformatics 20 (6), 2044-2054, 2019
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
H Shi, S Liu, J Chen, X Li, Q Ma, B Yu
Genomics 111 (6), 1839-1852, 2019
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
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
Comprehensive characterization of the genomic alterations in human gastric cancer
J Cui, Y Yin, Q Ma, G Wang, V Olman, Y Zhang, WC Chou, CS Hong, ...
International journal of cancer 137 (1), 86-95, 2015
LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property
S Han, Y Liang, Q Ma, Y Xu, Y Zhang, W Du, C Wang, Y Li
Briefings in bioinformatics 20 (6), 2009-2027, 2019
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
The understanding of circular RNAs as special triggers in carcinogenesis
Z Xin, Q Ma, S Ren, G Wang, F Li
Briefings in functional genomics 16 (2), 80-86, 2017
Genome-scale identification of cell-wall related genes in Arabidopsis based on co-expression network analysis
S Wang, Y Yin, Q Ma, X Tang, D Hao, Y Xu
BMC Plant Biology 12 (1), 138, 2012
QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data
Y Zhang, J Xie, J Yang, A Fennell, C Zhang, Q Ma
Bioinformatics 33 (3), 450-452, 2017
Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes
SY Niu, J Yang, A McDermaid, J Zhao, Y Kang, Q Ma
Briefings in bioinformatics 19 (6), 1415-1429, 2018
Gene Regulatory Networks for Lignin Biosynthesis in Switchgrass (Panicum virgatum)
X Rao, X Chen, H Shen, Q Ma, G Li, Y Tang, M Pena, W York, TP Frazier, ...
Plant Biotechnology Journal, 2018
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