| 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 | 261 | 2019 |
| 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 | 146 | 2019 |
| BinPacker: Packing-Based De Novo Transcriptome Assembly from RNA-seq Data J Liu, G Li, Z Chang, T Yu, B Liu, R McMullen, P Chen, X Huang PLoS computational biology 12 (2), e1004772, 2016 | 139 | 2016 |
| Goldindec: a novel algorithm for Raman spectrum baseline correction J Liu, J Sun, X Huang, G Li, B Liu Applied spectroscopy 69 (7), 834-842, 2015 | 82 | 2015 |
| 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 | 80 | 2021 |
| 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 | 74 | 2021 |
| Neighbor sum distinguishing total colorings of K 4-minor free graphs H Li, B Liu, G Wang Frontiers of Mathematics in China 8, 1351-1366, 2013 | 69 | 2013 |
| Neighbor sum distinguishing total colorings of planar graphs H Li, L Ding, B Liu, G Wang Journal of Combinatorial Optimization 30, 675-688, 2015 | 68 | 2015 |
| 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 | 66 | 2023 |
| 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 36 (4), 1143-1149, 2020 | 65 | 2020 |
| 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 | 63 | 2019 |
| 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), 6494, 2022 | 60 | 2022 |
| An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data B Liu, J Yang, Y Li, A McDermaid, Q Ma Briefings in bioinformatics 19 (5), 1069-1081, 2018 | 50 | 2018 |
| 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 | 46 | 2020 |
| DMINDA: an integrated web server for DNA motif identification and analyses Q Ma, H Zhang, X Mao, C Zhou, B Liu, X Chen, Y Xu Nucleic acids research 42 (W1), W12-W19, 2014 | 45 | 2014 |
| A new framework for identifying cis-regulatory motifs in prokaryotes G Li, B Liu, Q Ma, Y Xu Nucleic acids research 39 (7), e42-e42, 2011 | 42 | 2011 |
| Revisiting operons: an analysis of the landscape of transcriptional units in E. coli X Mao, Q Ma, B Liu, X Chen, H Zhang, Y Xu Bmc Bioinformatics 16, 1-9, 2015 | 38 | 2015 |
| An integrated toolkit for accurate prediction and analysis of cis-regulatory motifs at a genome scale Q Ma, B Liu, C Zhou, Y Yin, G Li, Y Xu Bioinformatics 29 (18), 2261-2268, 2013 | 38 | 2013 |
| Define and visualize pathological architectures of human tissues from spatially resolved transcriptomics using deep learning Y Chang, F He, J Wang, S Chen, J Li, J Liu, Y Yu, L Su, A Ma, C Allen, ... Computational and structural biotechnology journal 20, 4600-4617, 2022 | 37 | 2022 |
| IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq A Ma, C Wang, Y Chang, FH Brennan, A McDermaid, B Liu, C Zhang, ... Nucleic acids research 48 (W1), W275-W286, 2020 | 37 | 2020 |
Qin MaProfessor, Department of Biomedical Informatics, The Ohio State University在 osumc.edu 的电子邮件经过验证
