Jay S. Stanley

Quantifying the effect of experimental perturbations at single-cell resolution

Daniel B. Burkhardt, Jay S. Stanley, Alexander Tong et al. · Nature Biotechnology · 2021 · 215 citations · Full text

Microscopy, Medicine, Experimental Perturbations +7

Manifold learning-based methods for analyzing single-cell RNA-sequencing data

Kevin R. Moon, Jay S. Stanley, Daniel B. Burkhardt et al. · Current Opinion in Systems Biology · 2017 · 145 citations

Functional Genomics, Manifold Learning-based Methods, Engineering +9

Quantifying the effect of experimental perturbations at single-cell resolution

Daniel B. Burkhardt, Jay S. Stanley, Alexander Tong et al. · 2019 · 36 citations · Full text

Engineering, Microscopy, Transcriptomics Technology +23

Gene trajectory inference for single-cell data by optimal transport metrics

Rihao Qu, Xiuyuan Cheng, Esen Sefik et al. · Nature Biotechnology · 2024 · 31 citations · Full text

Functional Genomics, Engineering, Single Cell Sequencing +11

Geometry-Based Data Generation

Ofir Lindenbaum, Jay S. Stanley, Guy Wolf et al. · arXiv (Cornell University) · 2018 · 12 citations · Full text

Geometric Learning, Engineering, Machine Learning +24