Wancen Mu - researchr alias

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Viewing Publication 1 - 5 from 5

2023

On the Identifiability and Interpretability of Gaussian Process ModelsJiawen Chen, Wancen Mu, Yun Li, Didong Li. nips 2023: [doi]

matchRanges: generating null hypothesis genomic ranges via covariate-matched samplingEric S. Davis, Wancen Mu, Stuart Lee, Mikhail G. Dozmorov, Michael I. Love, Douglas H. Phanstiel. bioinformatics, 39(5), May 2023. [doi]

bootRanges: flexible generation of null sets of genomic ranges for hypothesis testingWancen Mu, Eric S. Davis, Stuart Lee, Mikhail G. Dozmorov, Douglas H. Phanstiel, Michael I. Love. bioinformatics, 39(5), May 2023. [doi]

excluderanges: exclusion sets for T2T-CHM13, GRCm39, and other genome assembliesJonathan D. Ogata, Wancen Mu, Eric S. Davis, Bingjie Xue, J. Chuck Harrell, Nathan C. Sheffield, Douglas H. Phanstiel, Michael I. Love, Mikhail G. Dozmorov. bioinformatics, 39(4), April 2023. [doi]

2022

Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasetsWancen Mu, Hirak Sarkar, Avi Srivastava, Kwangbom Choi, Rob Patro, Michael I. Love. bioinformatics, 38(10):2773-2780, 2022. [doi]

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