| 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 | 281 | 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 | 170 | 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 | 119 | 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 | 118 | 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 | 111* | 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 | 105 | 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 | 97 | 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 | 97 | 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 | 93 | 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 | 90 | 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 | 84 | 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 | 73* | 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 | 69 | 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 | 68 | 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 | 65 | 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 | 65 | 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 | 59 | 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 | 56 | 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 | 53 | 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 | 52 | 2018 |
Bingqiang LiuSchool of Mathematics, Shandong University, PRCVerified email at sdu.edu.cn
