Gene regulatory network reconstruction: harnessing the power of single-cell multi-omic data D Kim, A Tran, HJ Kim, Y Lin, JYH Yang, P Yang NPJ Systems Biology and Applications 9 (1), 51, 2023 | 43 | 2023 |
scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming model A Tran, P Yang, JYH Yang, JT Ormerod NAR genomics and bioinformatics 4 (1), lqac023, 2022 | 15 | 2022 |
Scalable workflow for characterization of cell-cell communication in COVID-19 patients Y Lin, L Loo, A Tran, DM Lin, C Moreno, D Hesselson, GG Neely, ... PLOS Computational Biology 18 (10), e1010495, 2022 | 8 | 2022 |
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell era A Tran, P Yang, JYH Yang, J Ormerod Briefings in Functional Genomics 21 (4), 270-279, 2022 | 8 | 2022 |
Characterization of cell-cell communication in COVID-19 patients Y Lin, L Loo, A Tran, C Moreno, D Hesselson, G Neely, JYH Yang bioRxiv, 2020.12. 30.424641, 2020 | 6 | 2020 |
Decoding the hallmarks of allograft dysfunction with a comprehensive pan-organ transcriptomic atlas H Robertson, HJ Kim, J Li, N Robertson, P Robertson, E Jimenez-Vera, ... Nature Medicine, 1-10, 2024 | 5 | 2024 |
Construction and optimization of multi-platform precision pathways for precision medicine A Tran, A Wang, J Mickaill, D Strbenac, M Larance, ST Vernon, SM Grieve, ... Scientific Reports 14 (1), 4248, 2024 | 1 | 2024 |
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, 261, 2023 | | 2023 |
Statistical Modelling for Cell Reprogramming A Tran | | 2021 |