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Qian Ke
Qian Ke
Research Scientist @ Bloomberg AI; PHD @Johns Hopkins University
Verified email at bloomberg.net
Title
Cited by
Cited by
Year
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
262018
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
32021
Enhancing Fairness in AI-based Travel Demand Forecasting Models
X Zhang, Q Ke, X Zhao
arXiv e-prints, arXiv: 2303.01692, 2023
22023
An R package for divergence analysis of omics data
W Dinalankara, Q Ke, D Geman, L Marchionni
PloS one 16 (4), e0249002, 2021
22021
Efficient Representations of Tumor Diversity with Paired DNA-RNA Anomalies
Q Ke, W Dinalankara, L Younes, D Geman, L Marchionni
bioRxiv, 2020
12020
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
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