1.
Yeganeh PN, Teo YY, Karagkouni D, et al. PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs. Briefings in bioinformatics. 2023;24(6). doi:10.1093/bib/bbad418.
1.
Kelley ME, Berman AY, Stirling DR, et al. High-content microscopy reveals a morphological signature of bortezomib resistance. eLife. 2023;12. doi:10.7554/eLife.91362.
1.
Trastulla L, Savino A, Beltrao P, et al. Highlights from the 1st European cancer dependency map symposium and workshop. FEBS letters. 2023. doi:10.1002/1873-3468.14699.
1.
Rees MG, Seashore-Ludlow B, Clemons PA. Computational Analyses Connect Small-Molecule Sensitivity to Cellular Features Using Large Panels of Cancer Cell Lines. Methods Mol Biol. 2019;1888:233-254. doi:10.1007/978-1-4939-8891-4_14.
1.
Sinha R, Ahsan H, Blaser M, et al. Next steps in studying the human microbiome and health in prospective studies, Bethesda, MD, May 16-17, 2017. Microbiome. 2018;6(1):210. doi:10.1186/s40168-018-0596-z.
1.
Li B, Gould J, Yang Y, et al. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq. Nat Methods. 2020;17(8):793-798. doi:10.1038/s41592-020-0905-x.
1.
Ding J, Regev A. Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces. Nat Commun. 2021;12(1):2554. doi:10.1038/s41467-021-22851-4.
1.
Frangieh CJ, Melms JC, Thakore PI, et al. Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion. Nat Genet. 2021;53(3):332-341. doi:10.1038/s41588-021-00779-1.
1.
Chung H, Parkhurst CN, Magee EM, et al. Joint single-cell measurements of nuclear proteins and RNA in vivo. Nat Methods. 2021;18(10):1204-1212. doi:10.1038/s41592-021-01278-1.
1.
Ye CJ, Chen J, Villani A-C, et al. Genetic analysis of isoform usage in the human anti-viral response reveals influenza-specific regulation of transcripts under balancing selection. Genome Res. 2018;28(12):1812-1825. doi:10.1101/gr.240390.118.