| kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes C Cao, D Kwok, S Edie, Q Li, B Ding, P Kossinna, S Campbell, J Wu, ... Briefings in Bioinformatics 22 (4), bbaa270, 2021 | 33 | 2021 |
| Disentangling genetic feature selection and aggregation in transcriptome-wide association studies C Cao, P Kossinna, D Kwok, Q Li, J He, L Su, X Guo, Q Zhang, Q Long Genetics 220 (2), iyab216, 2022 | 21 | 2022 |
| Evaluation of A Phylogenetic Pipeline to Examine Transmission Networks in A Canadian HIV Cohort L Mak, D Perera, R Lang, P Kossinna, J He, MJ Gill, Q Long, G van Marle Microorganisms 8 (2), 196, 2020 | 9 | 2020 |
| Stabilized COre gene and Pathway Election uncovers pan-cancer shared pathways and a cancer-specific driver P Kossinna, W Cai, X Lu, CS Shemanko, Q Zhang Science Advances 8 (51), eabo2846, 2022 | 5 | 2022 |
| Enterolactone and trabectedin suppress epithelial ovarian cancer synergistically via upregulating THBS1 Z Zeng, C Lin, MC Zhang, P Kossinna, P Wang, D Cao, J Wang, M Xu, ... Phytotherapy Research, 2022 | 3 | 2022 |
| Explainable autoencoder-based representation learning for gene expression data Y Yu, P Kossinna, Q Li, W Liao, Q Zhang bioRxiv, 2021.12. 21.473742, 2021 | 3 | 2021 |
| Fast Tail Index Estimation for Power Law Distributions in R R Munasinghe, P Kossinna, D Jayasinghe, D Wijeratne arXiv preprint arXiv:2006.10308, 2020 | 3 | 2020 |
| XA4C: eXplainable representation learning via Autoencoders revealing Critical genes Q Li, Y Yu, P Kossinna, T Lun, W Liao, Q Zhang PLOS Computational Biology 19 (10), e1011476, 2023 | 1 | 2023 |
| cLD: Rare-variant disequilibrium between genomic regions identifies novel genomic interactions D Wang, J He, D Perera, C Cao, P Kossinna, Q Li, W Zhang, X Guo, ... bioRxiv, 2022.02. 16.480745, 2022 | 1 | 2022 |
| Revisiting Feller Diffusion: Derivation and Simulation R Munasinghe, L Kanthan, P Kossinna arXiv preprint arXiv:1905.10737, 2019 | 1 | 2019 |
| kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes (vol 22, bbaa270, 2021) C Cao, D Kwok, S Edie, Q Li, B Ding, P Kossinna, S Campbell, J Wu, ... BRIEFINGS IN BIOINFORMATICS, 2023 | | 2023 |
| IBAS: Interaction-bridged association studies discovering novel genes underlying complex traits P Kossinna, S Kumarapeli, Q Zhang bioRxiv, 2023.08. 08.552376, 2023 | | 2023 |
| An expression-directed linear mixed model (edLMM) discovering low-effect genetic variants Q Li, J Bian, Y Qian, P Kossinna, PMK Gordon, X Zhou, X Guo, J Yan, ... bioRxiv, 2023.07. 13.548939, 2023 | | 2023 |
| Tail Index Estimation for Power Law Distributions in R R Munasinghe, P Kossinna, D Jayasinghe, D Wijeratne | | |
Quan LongUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
