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Nature Methods|July 13, 2023
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networksCarmen Bravo González-Blas, Seppe De Winter, Gert Hulselmans, et al.Nature Methods|July 19, 2023
Organ Mapping Antibody Panels: a community resource for standardized multiplexed tissue imagingEllen M Quardokus, Diane C Saunders, Elizabeth McDonough, et al.Nature Methods|July 10, 2023
Dense 4D nanoscale reconstruction of living brain tissuePhilipp Velicky, Eder Miguel, Julia M Michalska, et al.Nature Methods|August 17, 2023
Alignment of spatial genomics data using deep Gaussian processesAndrew Jones, F William Townes, Didong Li, et al.Nature Methods|August 14, 2023
UniAligner: a parameter-free framework for fast sequence alignmentAndrey V Bzikadze, Pavel A PevznerNature Methods|August 7, 2023
Isolating salient variations of interest in single-cell data with contrastiveVIEthan Weinberger, Chris Lin, Su-In LeeNature Methods|August 7, 2023
Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBenderStephen J Fleming, Mark D Chaffin, Alessandro Arduini, et al.Nature Methods|August 31, 2023
Multielement Z-tag imaging by X-ray fluorescence microscopy for next-generation multiplex imagingMerrick Strotton, Tsuyoshi Hosogane, Marco di Michiel, et al.Nature Methods|September 28, 2023
Learning single-cell perturbation responses using neural optimal transportCharlotte Bunne, Stefan G Stark, Gabriele Gut, et al.Nature Methods|September 28, 2023
A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screeningYifan Zhou, Kaixuan Luo, Lifan Liang, et al.Pageof 338