Buswinka CJ, Rosenberg DB, Simikyan RG, et al. Large-scale annotated dataset for cochlear hair cell detection and classification. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.30.553559
Publications
Hicks EM, Niarchou M, Goleva S, et al. Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.08.25.23294572
Lim K, Rutherford EN, Sun D, et al. A novel human fetal lung-derived alveolar organoid model reveals mechanisms of surfactant protein C maturation relevant to interstitial lung disease. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.30.555522
Ryu J, Barkal S, Yu T, et al. Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.09.08.23295253
Uddin MM, Saadatagah S, Niroula A, et al. Long-term longitudinal analysis of 4,187 participants reveals new insights into determinants of incident clonal hematopoiesis. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.09.05.23295093
Laubscher E, Wang XJ, Razin N, et al. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.09.03.556122
Miller AB, Langenbucher A, Rodriguez FH, et al. Leukemia circulation kinetics revealed through blood exchange method. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.09.03.556043
Lacoste J, Haghighi M, Haider S, et al. Pervasive mislocalization of pathogenic coding variants underlying human disorders. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.09.05.556368
Dong PT, Tian J, Kobayashi-Kirschvink KJ, et al. Episymbiotic bacterium induces intracellular lipid droplet production in its host bacteria. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.09.06.556576
Szczerbiński L, Mandla R, Schroeder P, et al. Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores - a new resource for diabetes precision medicine. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.09.05.23295061