| Interpretable machine learning models to predict the resistance of breast cancer patients to doxorubicin from their microRNA profiles AZ Ogunleye, C Piyawajanusorn, A Gonçalves, G Ghislat, PJ Ballester Advanced Science 9 (24), 2201501, 2022 | 22 | 2022 |
| A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling C Piyawajanusorn, LC Nguyen, G Ghislat, PJ Ballester Briefings in Bioinformatics 22 (6), bbab312, 2021 | 12 | 2021 |
| Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer A Ogunleye, C Piyawajanusorn, G Ghislat, PJ Ballester Health Data Science 4, 0108, 2024 | 7 | 2024 |
| PRIMA-1MET induces cellular senescence and apoptotic cell death in cholangiocarcinoma cells C Piyawajanusorn, Y Kittirat, P Sa-Ngiamwibool, A Titapun, W Loilome, ... Cancer Genomics & Proteomics 16 (6), 543-552, 2019 | 7 | 2019 |
| Data-centric challenges with the application and adoption of artificial intelligence for drug discovery G Ghislat, S Hernandez-Hernandez, C Piyawajanusorn, PJ Ballester Expert Opinion on Drug Discovery 19 (11), 1297-1307, 2024 | 2 | 2024 |
| Predicting temozolomide response in low-grade glioma patients with large-scale machine learning H Du, C Piyawajanusorn, G Ghislat, P Ballester bioRxiv, 2024.12. 22.629995, 2024 | | 2024 |
| Cellular senescence and inhibitory effects of PRIMA-1MET in cholangiocarcinoma C Piyawajanusorn, W Loilome, Y Kittirat, S Thongchot, N Namwat CANCER SCIENCE 109, 1382-1382, 2018 | | 2018 |
| Cellular senescence protein p16INK4a of cancer-associated fibroblasts (CAFs) as a prognostic indicator for cholangiocarcinoma patients C Piyawajanusorn, S Thongchot, Y Kittirat, W Loilome, A Titapun, ... Srinagarind Medical Journal-ศรีนครินทร์ เวช สาร 33 (5), 108-113, 2018 | | 2018 |
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