Digitizing omics profiles by divergence from a baseline W Dinalankara, Q Ke, Y Xu, L Ji, N Pagane, A Lien, T Matam, EJ Fertig, ... Proceedings of the National Academy of Sciences 115 (18), 4545-4552, 2018 | 26 | 2018 |
Efficient representations of tumor diversity with paired DNA-RNA aberrations Q Ke, W Dinalankara, L Younes, D Geman, L Marchionni PLoS computational biology 17 (6), e1008944, 2021 | 3 | 2021 |
Enhancing Fairness in AI-based Travel Demand Forecasting Models X Zhang, Q Ke, X Zhao arXiv e-prints, arXiv: 2303.01692, 2023 | 2 | 2023 |
An R package for divergence analysis of omics data W Dinalankara, Q Ke, D Geman, L Marchionni PloS one 16 (4), e0249002, 2021 | 2 | 2021 |
Efficient Representations of Tumor Diversity with Paired DNA-RNA Anomalies Q Ke, W Dinalankara, L Younes, D Geman, L Marchionni bioRxiv, 2020 | 1 | 2020 |
DIVERGENCE: AN Rpackage FOR DIVERGENCE ANALYSIS OF OMICS DATA W Dinalankara, Q Ke, D Geman, L Marchionni | | 2019 |
Divergence analysis with coarse coding of omics data across cancer phenotypes W Dinalankara, Q Qe, L Ji, Y Xu, N Pagane, F Lobo, L Younes, D Geman, ... Cancer Research 77 (13_Supplement), 4551-4551, 2017 | | 2017 |