Suliman S, Nieto-Caballero VE, Asgari S, et al. History of tuberculosis disease is associated with genetic regulatory variation in Peruvians. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.20.23291558
Publications
Kentistou KA, Kaisinger LR, Stankovic S, et al. Understanding the genetic complexity of puberty timing across the allele frequency spectrum. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.14.23291322
Lee J, Gilliland T, Koyama S, et al. Integrative metabolomics differentiate coronary artery disease, peripheral artery disease, and venous thromboembolism risks. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.21.23291103
Mitchell W, Goeminne LJE, Tyshkovskiy A, et al. Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenation. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.06.30.546730
Shaban M, Bai Y, Qiu H, et al. MAPS: Pathologist-level cell type annotation from tissue images through machine learning. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.06.25.546474
Akshay A, Katoch M, Abedi M, et al. SpheroScan: A User-Friendly Deep Learning Tool for Spheroid Image Analysis. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.06.28.533479
Edelstein GE, Boucau J, Uddin R, et al. SARS-CoV-2 virologic rebound with nirmatrelvir-ritonavir therapy. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.23.23288598
Hujoel MLA, Handsaker RE, Sherman MA, et al. Hidden protein-altering variants influence diverse human phenotypes. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.06.07.544066
Vessels T, Strayer N, Choi KW, et al. Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.01.23290057
Verma A, Huffman JE, Rodriguez A, et al. Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.06.28.23291975