| Two distinct subtypes revealed in blood transcriptome of breast cancer patients with an unsupervised analysis W Ming, H Xie, Z Hu, Y Chen, Y Zhu, Y Bai, H Liu, X Sun, Y Liu, W Gu Frontiers in Oncology 9, 985, 2019 | 19 | 2019 |
| Predicting hormone receptors and PAM50 subtypes of breast cancer from multi-scale lesion images of DCE-MRI with transfer learning technique W Ming, F Li, Y Zhu, Y Bai, W Gu, Y Liu, X Sun, X Liu, H Liu Computers in biology and medicine 150, 106147, 2022 | 12 | 2022 |
| A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples H Li, A Sharma, W Ming, X Sun, H Liu BMC genomics 21, 1-15, 2020 | 12 | 2020 |
| Unsupervised analysis based on DCE-MRI radiomics features revealed three novel breast cancer subtypes with distinct clinical outcomes and biological characteristics W Ming, F Li, Y Zhu, Y Bai, W Gu, Y Liu, X Liu, X Sun, H Liu Cancers 14 (22), 5507, 2022 | 10 | 2022 |
| Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer W Ming, Y Zhu, Y Bai, W Gu, F Li, Z Hu, T Xia, Z Dai, X Yu, H Li, Y Gu, ... Frontiers in Oncology 12, 943326, 2022 | 10 | 2022 |
| Prediction of bone marrow biopsy results from MRI in multiple myeloma patients using deep learning and radiomics M Wennmann, W Ming, F Bauer, J Chmelik, A Klein, C Uhlenbrock, ... Investigative radiology 58 (10), 754-765, 2023 | 8 | 2023 |
| From cellular infiltration assessment to a functional gene set-based prognostic model for breast cancer H Li, Y Huang, A Sharma, W Ming, K Luo, Z Gu, X Sun, H Liu Frontiers in Immunology 12, 751530, 2021 | 7 | 2021 |
| Multi-view radiomics feature fusion reveals distinct immuno-oncological characteristics and clinical prognoses in hepatocellular Carcinoma Y Gu, H Huang, Q Tong, M Cao, W Ming, R Zhang, W Zhu, Y Wang, X Sun Cancers 15 (8), 2338, 2023 | 6 | 2023 |
| FLED: a full-length eccDNA detector for long-reads sequencing data F Li, W Ming, W Lu, Y Wang, X Li, X Dong, Y Bai Briefings in Bioinformatics 24 (6), bbad388, 2023 | 3 | 2023 |
| Identifying associations between DCE-MRI Radiomic features and expression heterogeneity of Hallmark pathways in breast Cancer: a Multi-center Radiogenomic Study W Ming, Y Zhu, F Li, Y Bai, W Gu, Y Liu, X Sun, X Liu, H Liu Genes 14 (1), 28, 2022 | 2 | 2022 |
| Data analysis techniques and applications for identification and prediction of long non-coding RNA. Z Hu, W Zhu, W Ming, X Sun | 2 | 2021 |
| Detecting Full-Length EccDNA with FLED and long-reads sequencing F Li, W Ming, W Lu, Y Wang, X Li, X Dong, Y Bai bioRxiv, 2023.06. 21.545840, 2023 | 1 | 2023 |
| Delineating highly transcribed noncoding elements landscape in breast cancer W Zhu, H Huang, W Ming, R Zhang, Y Gu, Y Bai, X Liu, H Liu, Y Liu, W Gu, ... Computational and Structural Biotechnology Journal 21, 4432-4445, 2023 | 1 | 2023 |
| Bioinformatics advances in eccDNA identification and analysis F Li, W Ming, W Lu, Y Wang, X Dong, Y Bai Oncogene, 1-16, 2024 | | 2024 |
| Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask Generation ABH Arnob, X Wang, Y Jiao, X Gan, W Ming, J Xu arXiv preprint arXiv:2404.08584, 2024 | | 2024 |
| Deep learning und Radiomics zur Vorhersage von Knochenmarks-Biopsieergebnissen aus dem MRT bei Patienten mit Multiplem Myelom–eine multizentrische Studie M Wennmann, W Ming, F Bauer, J Chmelik, S Sauer, H Goldschmidt, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2023 | | 2023 |
