Chen S, Zheng R, Tian L, Wu FX, Li M. A posterior probability based Bayesian method for single-cell RNA-seq data imputation. Methods (San Diego, Calif.). 2023. doi:10.1016/j.ymeth.2023.06.004
Publications
Mezue K, Osborne MT, Abohashem S, et al. Reduced Stress-Related Neural Network Activity Mediates the Effect of Alcohol on Cardiovascular Risk. Journal of the American College of Cardiology. 2023;81(24):2315-2325. doi:10.1016/j.jacc.2023.04.015
Nikitin AG, Videiko M, Patterson N, Renson V, Reich D. Interactions between Trypillian farmers and North Pontic forager-pastoralists in Eneolithic central Ukraine. PloS one. 2023;18(6):e0285449. doi:10.1371/journal.pone.0285449
Grotzinger AD, Singh K, Miller-Fleming TW, et al. Transcriptome-Wide Structural Equation Modeling of 13 Major Psychiatric Disorders for Cross-Disorder Risk and Drug Repurposing. JAMA psychiatry. 2023. doi:10.1001/jamapsychiatry.2023.1808
Grotzinger AD, Singh K, Miller-Fleming TW, et al. Transcriptome-Wide Structural Equation Modeling of 13 Major Psychiatric Disorders for Cross-Disorder Risk and Drug Repurposing. JAMA psychiatry. 2023. doi:10.1001/jamapsychiatry.2023.1808
Palacios N, Wilkinson J, Bjornevik K, et al. Metagenomics of the Gut Microbiome in Parkinson’s Disease: Prodromal Changes. Annals of neurology. 2023. doi:10.1002/ana.26719
Peters CW, Hanlon KS, Ivanchenko M V, et al. Rescue of hearing by adenine base editing in a humanized mouse model of Usher syndrome type 1F. Molecular therapy : the journal of the American Society of Gene Therapy. 2023. doi:10.1016/j.ymthe.2023.06.007
Yiu SPT, Zerbe C, Vanderwall D, Huttlin EL, Weekes MP, Gewurz BE. An Epstein-Barr virus protein interaction map reveals NLRP3 inflammasome evasion via MAVS UFMylation. Molecular cell. 2023. doi:10.1016/j.molcel.2023.05.018
Zhang Y, Miller JA, Park J, et al. Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Scientific reports. 2023;13(1):9567. doi:10.1038/s41598-023-36638-8
Wang Y, Thompson KN, Yan Y, et al. RNA-based amplicon sequencing is ineffective in measuring metabolic activity in environmental microbial communities. Microbiome. 2023;11(1):131. doi:10.1186/s40168-022-01449-y