Anwar MY, Highland H, Buchanan VL, et al. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring, Md.). 2024;32(11):2024-2034. doi:10.1002/oby.24137
Publications
Anwar MY, Highland H, Buchanan VL, et al. Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns. Obesity (Silver Spring, Md.). 2024;32(11):2024-2034. doi:10.1002/oby.24137
Young MG, Straub TJ, Worby CJ, et al. Distinct Escherichia coli transcriptional profiles in the guts of recurrent UTI sufferers revealed by pangenome hybrid selection. Nature communications. 2024;15(1):9466. doi:10.1038/s41467-024-53829-7
Goeva A, Dolan MJ, Luu J, et al. HiDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data. Nature communications. 2024;15(1):9468. doi:10.1038/s41467-024-53666-8
Singh H, Xiu J, Kapner KS, et al. Clinical and Genomic Features of Classical and Basal Transcriptional Subtypes in Pancreatic Cancer. Clinical cancer research : an official journal of the American Association for Cancer Research. 2024;30(21):4932-4942. doi:10.1158/1078-0432.CCR-24-1164
Dimitrieva S, Harrison JM, Chang J, et al. Dynamic evolution of fibroblasts revealed by single cell RNA sequencing of human pancreatic cancer. Cancer research communications. 2024. doi:10.1158/2767-9764.CRC-23-0489
Romano KP, Bagnall J, Warrier T, et al. Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics. Proceedings of the National Academy of Sciences of the United States of America. 2024;121(45):e2409747121. doi:10.1073/pnas.2409747121
Sperling AS. Cytopenias in BCMA CAR T: unraveling inflammatory mechanisms. Blood advances. 2024;8(21):5527-5528. doi:10.1182/bloodadvances.2024014308
Sperling AS. Cytopenias in BCMA CAR T: unraveling inflammatory mechanisms. Blood advances. 2024;8(21):5527-5528. doi:10.1182/bloodadvances.2024014308
Murphy M, Jiang C, Wang LA, et al. Electroencephalographic Microstates During Sleep and Wake in Schizophrenia. Biological psychiatry global open science. 2024;4(6):100371. doi:10.1016/j.bpsgos.2024.100371