Intermediate cell states in epithelial-to-mesenchymal transition Y Sha, D Haensel, G Gutierrez, H Du, X Dai, Q Nie Physical biology 16 (2), 021001, 2019 | 79 | 2019 |
Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data Y Sha, S Wang, P Zhou, Q Nie Nucleic acids research 48 (17), 9505-9520, 2020 | 52 | 2020 |
Single-cell analysis of human basal cell carcinoma reveals novel regulators of tumor growth and the tumor microenvironment CF Guerrero-Juarez, GH Lee, Y Liu, S Wang, M Karikomi, Y Sha, ... Science advances 8 (23), eabm7981, 2022 | 20 | 2022 |
Inference of intercellular communications and multilayer gene-regulations of epithelial–mesenchymal transition from single-cell transcriptomic data Y Sha, S Wang, F Bocci, P Zhou, Q Nie Frontiers in Genetics 11, 604585, 2021 | 19 | 2021 |
A study of gene expression, structure, and contractility of iPSC-derived cardiac myocytes from a family with heart disease due to LMNA mutation M Mehrabi, TA Morris, Z Cang, CHH Nguyen, Y Sha, MN Asad, ... Annals of biomedical engineering 49, 3524-3539, 2021 | 6 | 2021 |
Reconstructing growth and dynamic trajectories from single-cell transcriptomics data Y Sha, Y Qiu, P Zhou, Q Nie Nature Machine Intelligence 6 (1), 25-39, 2024 | 5 | 2024 |
NEURALGENE: INFERRING GENE REGULATION AND CELL-FATE DYNAMICS FROM NEURAL ODES Y Sha, Y Qiu, Q Nie Journal of Machine Learning for Modeling and Computing 4 (3), 2023 | | 2023 |
Yutong Sha1, 2, Shuxiong Wang1, Federico Bocci1, 2, Peijie Zhou1* and Qing Nie1, 2, 3 A Sharma, W Wang, DJ Wooten, FF Clos, P Zhou, Q Nie, Y Sha, S Wang, ... Non-Genetic Heterogeneity in Development and Disease, 2021 | | 2021 |