| deepDriver: predicting cancer driver genes based on somatic mutations using deep convolutional neural networks P Luo, Y Ding, X Lei, FX Wu Frontiers in genetics 10, 428627, 2019 | 84 | 2019 |
| Enhancing the prediction of disease–gene associations with multimodal deep learning P Luo, Y Li, LP Tian, FX Wu Bioinformatics 35 (19), 3735-3742, 2019 | 62 | 2019 |
| Disease gene prediction by integrating ppi networks, clinical rna-seq data and omim data P Luo, LP Tian, J Ruan, FX Wu IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017 | 62 | 2017 |
| CReSCENT: cancer single cell expression toolkit S Mohanraj, JJ Díaz-Mejía, MD Pham, H Elrick, M Husić, S Rashid, P Luo, ... Nucleic Acids Research 48 (W1), W372-W379, 2020 | 21 | 2020 |
| Identifying disease-gene associations with graph-regularized manifold learning P Luo, Q Xiao, PJ Wei, B Liao, FX Wu Frontiers in genetics 10, 444866, 2019 | 20 | 2019 |
| Network learning for biomarker discovery Y Ding, M Fu, P Luo, FX Wu International Journal of Network Dynamics and Intelligence, 51-65, 2023 | 19 | 2023 |
| CASNMF: a converged algorithm for symmetrical nonnegative matrix factorization LP Tian, P Luo, H Wang, H Zheng, FX Wu Neurocomputing 275, 2031-2040, 2018 | 18 | 2018 |
| Identifying disease genes from PPI networks weighted by gene expression under different conditions P Luo, LP Tian, J Ruan, FX Wu 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 14 | 2016 |
| Identifying cell types from single-cell data based on similarities and dissimilarities between cells Y Li, P Luo, Y Lu, FX Wu BMC bioinformatics 22 (Suppl 3), 255, 2021 | 13 | 2021 |
| Predicting gene-disease associations with manifold learning P Luo, LP Tian, B Chen, Q Xiao, FX Wu Bioinformatics Research and Applications: 14th International Symposium …, 2018 | 12 | 2018 |
| Ensemble disease gene prediction by clinical sample-based networks P Luo, LP Tian, B Chen, Q Xiao, FX Wu BMC bioinformatics 21, 1-12, 2020 | 11 | 2020 |
| A Novel Core‐Attachment–Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks Q Xiao, P Luo, M Li, J Wang, FX Wu Proteomics 19 (5), 1800129, 2019 | 10 | 2019 |
| Predicting disease‐associated genes: Computational methods, databases, and evaluations P Luo, B Chen, B Liao, FX Wu Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (2 …, 2021 | 9 | 2021 |
| Normalization of the immune microenvironment during lenalidomide maintenance is associated with sustained MRD negativity in patients with multiple myeloma DG Coffey, F Maura, E Gonzalez-Kozlova, J Diaz-Mejia, P Luo, Y Zhang, ... Blood 138, 329, 2021 | 6 | 2021 |
| Early Cancer Detection in Li–Fraumeni Syndrome with Cell-Free DNA D Wong, P Luo, LE Oldfield, H Gong, L Brunga, R Rabinowicz, V Subasri, ... Cancer Discovery 14 (1), 104-119, 2024 | 5 | 2024 |
| Immunophenotypic correlates of sustained MRD negativity in patients with multiple myeloma DG Coffey, F Maura, E Gonzalez-Kozlova, JJ Diaz-Mejia, P Luo, Y Zhang, ... Nature communications 14 (1), 5335, 2023 | 5 | 2023 |
| Integrated, longitudinal analysis of cell-free DNA in uveal melanoma D Wong, P Luo, N Znassi, DP Arteaga, D Gray, A Danesh, M Han, ... Cancer Research Communications 3 (2), 267-280, 2023 | 4 | 2023 |
| Integrated analysis of cell-free DNA for the early detection of cancer in people with Li-Fraumeni Syndrome D Wong, P Luo, L Oldfield, H Gong, L Brunga, R Rabinowicz, V Subasri, ... medRxiv, 2022.10. 07.22280848, 2022 | 3 | 2022 |
| Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets A Mahalanabis, AL Turinsky, M Husić, E Christensen, P Luo, A Naidas, ... Computational and Structural Biotechnology Journal 20, 6375-6387, 2022 | 3 | 2022 |
| Predicting disease genes from clinical single sample-based ppi networks P Luo, LP Tian, B Chen, Q Xiao, FX Wu Bioinformatics and Biomedical Engineering: 6th International Work-Conference …, 2018 | 3 | 2018 |
FangXiang WUUniversity of SaskatchewanVerifisert e-postadresse på usask.ca
