Shao B, Yan J, Zhang J, Buskirk AR. Riboformer: A Deep Learning Framework for Predicting Context-Dependent Translation Dynamics. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.04.24.538053
Publications
Ndiaye YD, Wong W, Thwing J, et al. Two decades of molecular surveillance in Senegal reveal changes in known drug resistance mutations associated with historical drug use and seasonal malaria chemoprevention. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.04.24.23288820
Liu A, Genovese G, Zhao Y, et al. Population analyses of mosaic X chromosome loss identify genetic drivers and widespread signatures of cellular selection. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.01.28.23285140
Shaw S, Cohn IS, Baptista RP, et al. Genetic crosses within and between species of . bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.04.551960
Ramezani M, Bauman J, Singh A, et al. A genome-wide atlas of human cell morphology. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.06.552164
Seaby EG, Thomas S, Hunt D, et al. A panel-agnostic strategy ’HiPPo’ improves diagnostic efficiency in the UK Genome Medicine Service. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.01.31.23285025
Drexler R, Khatri R, Sauvigny T, et al. Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerability. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.08.04.552017
Urhan A, Cosma BM, Manson AL, Abeel T. SAP: Synteny-aware gene function prediction for bacteria using protein embeddings. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.05.02.539034
Fihn CA, Lembke HK, Gaulin J, et al. Evaluation of Expanded 2-Aminobenzothiazole Library for Inhibition of Virulence Phenotypes. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.05.02.539119
Araujo DS, Nguyen C, Hu X, et al. Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.02.09.527747