| Spatial omics and multiplexed imaging to explore cancer biology SM Lewis, ML Asselin-Labat, Q Nguyen, J Berthelet, X Tan, VC Wimmer, ... Nature methods 18 (9), 997-1012, 2021 | 397 | 2021 |
| stLearn: integrating spatial location, tissue morphology and gene expression to find cell types, cell-cell interactions and spatial trajectories within undissociated tissues D Pham, X Tan, J Xu, LF Grice, PY Lam, A Raghubar, J Vukovic, ... BioRxiv, 2020.05. 31.125658, 2020 | 270 | 2020 |
| Colorectal Cancer Metastases in the Liver Establish Immunosuppressive Spatial Networking between Tumor-Associated SPP1+ Macrophages and Fibroblasts A Sathe, K Mason, SM Grimes, Z Zhou, BT Lau, X Bai, A Su, X Tan, ... Clinical Cancer Research 29 (1), 244-260, 2023 | 75 | 2023 |
| Resolving the immune landscape of human prostate at a single-cell level in health and cancer ZK Tuong, KW Loudon, B Berry, N Richoz, J Jones, X Tan, Q Nguyen, ... Cell Reports 37 (12), 2021 | 74 | 2021 |
| SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells X Tan, A Su, M Tran, Q Nguyen Bioinformatics 36 (7), 2293-2294, 2020 | 69 | 2020 |
| A deep learning model for molecular label transfer that enables cancer cell identification from histopathology images A Su, HJ Lee, X Tan, CJ Suarez, N Andor, Q Nguyen, HP Ji NPJ precision oncology 6 (1), 14, 2022 | 34 | 2022 |
| Spatially resolved transcriptomes of mammalian kidneys illustrate the molecular complexity and interactions of functional nephron segments AM Raghubar, DT Pham, X Tan, LF Grice, J Crawford, PY Lam, ... Frontiers in Medicine 9, 873923, 2022 | 16 | 2022 |
| Applying machine learning for integration of multi-modal genomics data and imaging data to quantify heterogeneity in tumour tissues X Tan, AT Su, H Hajiabadi, M Tran, Q Nguyen Artificial neural networks, 209-228, 2021 | 12 | 2021 |
| A robust platform for integrative spatial multi‐omics analysis to map immune responses to SARS‐CoV‐2 infection in lung tissues X Tan, LF Grice, M Tran, O Mulay, J Monkman, T Blick, T Vo, AC Almeida, ... Immunology 170 (3), 401-418, 2023 | 7 | 2023 |
| Deep spatial-omics analysis of Head & Neck carcinomas provides alternative therapeutic targets and rationale for treatment failure A Causer, X Tan, X Lu, P Moseley, SM Teoh, N Molotkov, M McGrath, ... NPJ Precision Oncology 7 (1), 89, 2023 | 6 | 2023 |
| Spatially resolved transcriptome profiles of mammalian kidneys illustrate the molecular complexity of functional nephron segments, cell-to-cell interactions and genetic variants AM Raghubar, DT Pham, X Tan, LF Grice, J Crawford, PY Lam, ... BioRxiv, 2020.09. 29.317917, 2020 | 6 | 2020 |
| Generalization of deep learning models for predicting spatial gene expression profiles using histology images: A breast cancer case study Y Jiang, J Xie, X Tan, N Ye, Q Nguyen bioRxiv, 2023.09. 20.558624, 2023 | 5 | 2023 |
| StLearn: Integrating Spatial Location D Pham, X Tan, J Xu, LF Grice, PY Lam, A Raghubar, J Vukovic, ... Tissue Morphology and Gene Expression to Find Cell Types, Cell-Cell …, 2020 | 2 | 2020 |
| Applying spatial omics and computational integrative analyses to study drug responses and cancer immune cell interactions X Tan, A Causer, TQA Vo, N Ma, BB Cheikh, L Genovesi, ... Cancer Research 83 (7_Supplement), 4703-4703, 2023 | 1 | 2023 |
| Machine learning integration of imaging data with spatial multi-omics data to study heterogeneity in disease tissues X Tan | | 2024 |
| DeepHis2Exp Y Jiang, Q Nguyen, X Tan The University of Queensland, 2024 | | 2024 |
| SpaMTP: Integrative Statistical Analysis and Visualisation of Spatial Metabolomics and Transcriptomics data. A Causer, T Lu, C Fitzgerald, A Newman, H Vu, X Tan, TQA Vo, C Cui, ... bioRxiv, 2024.10. 31.621429, 2024 | | 2024 |
| Machine learning integration of transcriptome-wide spatial sequencing data and ultra-high plex spatial proteomic data enables the prioritization of cancer drug targets X Tan, A Causer, J Gonzales-Cruz, N Ma, BB Cheikh, O Braubach, ... Cancer Research 83 (7_Supplement), 2059-2059, 2023 | | 2023 |
| Deep spatial-omics to aid personalization of precision medicine in metastatic recurrent Head & Neck Cancers A Causer, X Tan, X Lu, P Moseley, M Teoh, M McGrath, T Kim, P Simpson, ... bioRxiv, 2023.02. 10.527955, 2023 | | 2023 |
| STimage dataset X Tan, O Mulay, Q Nguyen The University of Queensland, 2023 | | 2023 |
