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Nature Communications|November 3, 2022
Tempo: an unsupervised Bayesian algorithm for circadian phase inference in single-cell transcriptomicsBenjamin J Auerbach, Garret A FitzGerald, Mingyao LiGenome Research|October 2, 2021
Applications of single-cell genomics and computational strategies to study common disease and population-level variationBenjamin J Auerbach, Jian Hu, Muredach P Reilly, et al.Computational and Structural Biotechnology Journal|July 21, 2021
Statistical and machine learning methods for spatially resolved transcriptomics with histologyJian Hu, Amelia Schroeder, Kyle Coleman, et al.Plos Genetics|July 7, 2023
Regularized sequence-context mutational trees capture variation in mutation rates across the human genomeChristopher J Adams, Mitchell Conery, Benjamin J Auerbach, et al.Arteriosclerosis, Thrombosis, and Vascular Biology|April 25, 2024
Differential Impact In Vivo of Pf4-ΔCre-Mediated and Gp1ba-ΔCre-Mediated Depletion of Cyclooxygenase-1 in Platelets in MiceSoon Yew Tang, Ronan Lordan, Hu Meng, et al.Circulation|September 23, 2020
Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and HumanHuize Pan, Chenyi Xue, Benjamin J Auerbach, et al.Pageof 1