| Ensemble deep learning in bioinformatics Y Cao, TA Geddes, JYH Yang, P Yang Nature Machine Intelligence 2 (9), 500-508, 2020 | 285 | 2020 |
| scClassify: sample size estimation and multiscale classification of cells using single and multiple reference Y Lin, Y Cao, HJ Kim, A Salim, TP Speed, DM Lin, P Yang, JYH Yang Molecular systems biology 16 (6), e9389, 2020 | 120* | 2020 |
| Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data L Yu, Y Cao, JYH Yang, P Yang Genome biology 23 (1), 49, 2022 | 95 | 2022 |
| A benchmark study of simulation methods for single-cell RNA sequencing data Y Cao, P Yang, JYH Yang Nature communications 12 (1), 6911, 2021 | 63 | 2021 |
| scDC: single cell differential composition analysis Y Cao, Y Lin, JT Ormerod, P Yang, JYH Yang, KK Lo BMC bioinformatics 20, 1-12, 2019 | 51 | 2019 |
| scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction Y Cao, Y Lin, E Patrick, P Yang, JYH Yang Bioinformatics 38 (20), 4745-4753, 2022 | 14 | 2022 |
| Atlas-scale single-cell multi-sample multi-condition data integration using scMerge2 Y Lin, Y Cao, E Willie, E Patrick, JYH Yang Nature Communications 14 (1), 4272, 2023 | 8 | 2023 |
| Integrative analysis of prognostic biomarkers for acute rejection in kidney transplant recipients Y Cao, SI Alexander, JR Chapman, JC Craig, G Wong, JYH Yang Transplantation 105 (6), 1225-1237, 2021 | 8 | 2021 |
| Pcdh19 mediates olfactory sensory neuron coalescence during postnatal stages and regeneration AP Martinez, AC Chung, S Huang, AJ Bisogni, Y Lin, Y Cao, EO Williams, ... Iscience 26 (11), 2023 | 3 | 2023 |
| Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data Y Cao, S Ghazanfar, P Yang, J Yang Briefings in Bioinformatics 24 (3), bbad159, 2023 | 3 | 2023 |
| The current landscape and emerging challenges of benchmarking single-cell methods JYH Yang, Y Cao, L Yu, M Torkel, S Kim, Y Lin, P Yang, TP Speed, ... bioRxiv, 2023.12. 19.572303, 2023 | 2 | 2023 |
| Insights, opportunities and challenges provided by large cell atlases M Hemberg, F Marini, S Ghazanfar, AA Ajami, N Abassi, B Anchang, ... arXiv preprint arXiv:2408.06563, 2024 | 1 | 2024 |
| Spatial gene expression at single-cell resolution from histology using deep learning with GHIST X Fu, Y Cao, B Bian, C Wang, D Graham, N Pathmanathan, E Patrick, ... BioRxiv, 2024.07. 02.601790, 2024 | 1 | 2024 |
| A Message Passing Framework for Precise Cell State Identification with scClassify2 W Ding, Y Cao, X Fu, M Torkel, J Yang bioRxiv, 2024.06. 26.600770, 2024 | | 2024 |
| Multi-task benchmarking of spatially resolved gene expression simulation models X Liang, Y Cao, JYH Yang bioRxiv, 2024.05. 29.596418, 2024 | | 2024 |
| simKAP: simulation framework for the kidney allocation process with decision making model Y Zhang, A Hu, Y Lin, Y Cao, S Muller, G Wong, JYH Yang Scientific Reports 13 (1), 16367, 2023 | | 2023 |
| Thinking process templates for constructing data stories with SCDNEY Y Cao, A Tran, H Kim, N Robertson, Y Lin, M Torkel, P Yang, E Patrick, ... F1000Research 12, 2023 | | 2023 |
| Methods towards precision bioinformatics in single cell era Y Cao | | 2023 |
| Scope+: An open source generalizable architecture for single-cell atlases at sample and cell levels D Yin, Y Cao, J Chen, CL Mak, KH Yu, Y Lin, J Zhang, J Li, JWK Ho, ... | | 2022 |
Jean Yee Hwa YangUniversity of SydneyVerified email at sydney.edu.au
