| Evaluation of cell type annotation R packages on single-cell RNA-seq data Q Huang, Y Liu, Y Du, LX Garmire Genomics, Proteomics and Bioinformatics 19 (2), 267-281, 2021 | 88 | 2021 |
| A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies Z Sun, L Chen, H Xin, Y Jiang, Q Huang, AR Cillo, T Tabib, JK Kolls, ... Nature communications 10 (1), 1649, 2019 | 69 | 2019 |
| HDAC2 overexpression correlates with aggressive clinicopathological features and DNA-damage response pathway of breast cancer W Shan, Y Jiang, H Yu, Q Huang, L Liu, X Guo, L Li, Q Mi, K Zhang, ... American journal of cancer research 7 (5), 1213, 2017 | 67 | 2017 |
| Single cell transcriptome research in human placenta H Li, Q Huang, Y Liu, LX Garmire Reproduction 160 (6), R155-R167, 2020 | 50 | 2020 |
| Evaluation of STAR and Kallisto on single cell RNA-Seq data alignment Y Du, Q Huang, C Arisdakessian, LX Garmire G3: Genes, Genomes, Genetics 10 (5), 1775-1783, 2020 | 48 | 2020 |
| ASGARD is a single-cell guided pipeline to aid repurposing of drugs B He, Y Xiao, H Liang, Q Huang, Y Du, Y Li, D Garmire, D Sun, ... Nature Communications 14 (1), 993, 2023 | 22 | 2023 |
| Lilikoi V2. 0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data X Fang, Y Liu, Z Ren, Y Du, Q Huang, LX Garmire Gigascience 10 (1), giaa162, 2021 | 14 | 2021 |
| GranatumX: a community-engaging, modularized, and flexible webtool for single-cell data analysis DG Garmire, X Zhu, A Mantravadi, Q Huang, B Yunits, Y Liu, T Wolfgruber, ... Genomics, Proteomics and Bioinformatics 19 (3), 452-460, 2021 | 7* | 2021 |
| A Dual‐Filtration System for Single‐Cell Sequencing of Circulating Tumor Cells and Clusters in HCC VL Chen, Q Huang, R Harouaka, Y Du, AS Lok, ND Parikh, LX Garmire, ... Hepatology Communications 6 (6), 1482-1491, 2022 | 6 | 2022 |
| Benchmarking computational integration methods for spatial transcriptomics data Y Li, S Stanojevic, B He, Z Jing, Q Huang, J Kang, LX Garmire bioRxiv, 2021.08. 27.457741, 2021 | 3 | 2021 |
| Challenges and perspectives in computational deconvolution of genomics data LX Garmire, Y Li, Q Huang, C Xu, SA Teichmann, N Kaminski, ... Nature Methods, 1-10, 2024 | 2 | 2024 |
| Evaluation of Cell Type Deconvolution R Packages on Single Cell RNA-seq Data. Q Huang, Y Liu, Y Du, LX Garmire BioRxiv, 827139, 2019 | 2 | 2019 |
| Originator: Computational Framework Separating Single-Cell RNA-Seq by Genetic and Contextual Information T Unjitwattana, Q Huang, Y Du, Y Yang, M Zhou, LX Garmire bioRxiv, 2024.04. 04.588144, 2024 | | 2024 |
| Explain-seq: an end-to-end pipeline from training to interpretation of sequence-based deep learning models N Zhao, S Wang, Q Huang, S Dong, AP Boyle bioRxiv, 2023.01. 23.525250, 2023 | | 2023 |
