| Mammalian near-infrared image vision through injectable and self-powered retinal nanoantennae Y Ma, J Bao, Y Zhang, Z Li, X Zhou, C Wan, L Huang, Y Zhao, G Han, ... Cell 177 (2), 243-255. e15, 2019 | 232 | 2019 |
| Atractylenolide I enhances responsiveness to immune checkpoint blockade therapy by activating tumor antigen presentation H Xu, K Van der Jeught, Z Zhou, L Zhang, T Yu, Y Sun, Y Li, C Wan, ... The Journal of clinical investigation 131 (10), 2021 | 103 | 2021 |
| MAL2 drives immune evasion in breast cancer by suppressing tumor antigen presentation Y Fang, L Wang, C Wan, Y Sun, K Van der Jeught, Z Zhou, T Dong, ... The Journal of clinical investigation 131 (1), 2021 | 73 | 2021 |
| A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data N Alghamdi, W Chang, P Dang, X Lu, C Wan, S Gampala, Z Huang, ... Genome research 31 (10), 1867-1884, 2021 | 65 | 2021 |
| Suod: Accelerating large-scale unsupervised heterogeneous outlier detection Y Zhao, X Hu, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ... Proceedings of Machine Learning and Systems 3, 463-478, 2021 | 56 | 2021 |
| LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data C Wan, W Chang, Y Zhang, F Shah, X Lu, Y Zang, A Zhang, S Cao, ... Nucleic acids research 47 (18), e111-e111, 2019 | 52 | 2019 |
| CPSS 2.0: a computational platform update for the analysis of small RNA sequencing data C Wan, J Gao, H Zhang, X Jiang, Q Zang, R Ban, Y Zhang, Q Shi Bioinformatics 33 (20), 3289-3291, 2017 | 35 | 2017 |
| SHP2 inhibition reduces leukemogenesis in models of combined genetic and epigenetic mutations R Pandey, B Ramdas, C Wan, G Sandusky, M Mohseni, C Zhang, ... The Journal of clinical investigation 129 (12), 5468-5473, 2019 | 34 | 2019 |
| Fast and efficient boolean matrix factorization by geometric segmentation C Wan, W Chang, T Zhao, M Li, S Cao, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6086-6093, 2020 | 19 | 2020 |
| Principled hyperedge prediction with structural spectral features and neural networks C Wan, M Zhang, W Hao, S Cao, P Li, C Zhang arXiv preprint arXiv:2106.04292, 2021 | 15 | 2021 |
| PLUS: Predicting cancer metastasis potential based on positive and unlabeled learning J Zhou, X Lu, W Chang, C Wan, X Lu, C Zhang, S Cao PLoS computational biology 18 (3), e1009956, 2022 | 11 | 2022 |
| Supervised clustering of high-dimensional data using regularized mixture modeling W Chang, C Wan, Y Zang, C Zhang, S Cao Briefings in bioinformatics 22 (4), bbaa291, 2021 | 11 | 2021 |
| M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data Y Zhang, C Wan, P Wang, W Chang, Y Huo, J Chen, Q Ma, S Cao, ... BMC bioinformatics 20, 1-5, 2019 | 11 | 2019 |
| Denoising individual bias for fairer binary submatrix detection C Wan, W Chang, T Zhao, S Cao, C Zhang Proceedings of the 29th ACM International Conference on Information …, 2020 | 10 | 2020 |
| Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data J Gao, C Wan, H Zhang, A Li, Q Zang, R Ban, A Ali, Z Yu, Q Shi, X Jiang, ... BMC bioinformatics 18, 1-6, 2017 | 8 | 2017 |
| SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data X Lu, SW Tu, W Chang, C Wan, J Wang, Y Zang, B Ramdas, R Kapur, ... Briefings in bioinformatics 22 (4), bbaa307, 2021 | 5 | 2021 |
| RobMixReg: an R package for robust, flexible and high dimensional mixture regression W Chang, C Wan, C Yu, W Yao, C Zhang, S Cao bioRxiv, 2020.08. 02.233460, 2020 | 5 | 2020 |
| ICTD: A semi-supervised cell type identification and deconvolution method for multi-omics data W Chang, C Wan, X Lu, S Tu, Y Sun, X Zhang, Y Zang, A Zhang, K Huang, ... BioRxiv, 2019 | 5 | 2019 |
| IRIS-FGM: an integrative single-cell RNA-Seq interpretation system for functional gene module analysis Y Chang, C Allen, C Wan, D Chung, C Zhang, Z Li, Q Ma Bioinformatics 37 (18), 3045-3047, 2021 | 4 | 2021 |
| scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data Z Zhang, W Chang, N Alghamdi, M Fei, C Wan, A Lu, Y Zang, Y Xu, W Wu, ... bioRxiv, 2022.06. 18.496660, 2022 | 3 | 2022 |
