The key parameters that govern translation efficiency DD Erdmann-Pham, KD Duc, YS Song Cell systems 10 (2), 183-192. e6, 2020 | 51 | 2020 |
Likelihood-based deconvolution of bulk gene expression data using single-cell references DD Erdmann-Pham, J Fischer, J Hong, YS Song Genome research 31 (10), 1794-1806, 2021 | 28 | 2021 |
EGGTART: a tool to visualize the dynamics of biophysical transport under the inhomogeneous l-TASEP DD Erdmann-Pham, W Son, KD Duc, YS Song Biophysical journal 120 (8), 1309-1313, 2021 | 6 | 2021 |
Tracing cancer evolution and heterogeneity using Hi-C DD Erdmann-Pham, SS Batra, TK Turkalo, J Durbin, M Blanchette, I Yeh, ... Nature Communications 14 (1), 7111, 2023 | 4 | 2023 |
Transferability of geometric patterns from protein self-interactions to protein-ligand interactions A Koehl, M Jagota, DD Erdmann-Pham, A Fung, YS Song Pacific Symposium on Biocomputing 2022, 22-33, 2021 | 3 | 2021 |
Hydrodynamic Limit of the Inhomogeneous -TASEP with Open Boundaries: Derivation and Solution DD Erdmann-Pham, KD Duc, YS Song arXiv 2018, 2018 | 1 | 2018 |
Exact and efficient multivariate two-sample tests through generalized linear rank statistics DD Erdmann-Pham arXiv preprint arXiv:2209.14235, 2022 | | 2022 |
A Likelihood-based Deconvolution of Bulk Gene Expression Data Using Single-cell References J Hong, DD Erdmann-Pham, J Fischer, YS Song | | 2021 |
Probabilistic Models and Statistical Tools for Gene Expression Analysis DD Erdmann-Pham University of California, Berkeley, 2021 | | 2021 |
RNA-Sieve: A likelihood-based deconvolution of bulk gene expression data using single-cell references DD Erdmann-Pham, J Fischer, J Hong, YS Song | | 2020 |
Exact and arbitrarily accurate non-parametric two-sample tests based on rank spacings DD Erdmann-Pham, J Terhorst, YS Song arXiv preprint arXiv:2008.06664, 2020 | | 2020 |
Singular Value Homogenization: a simple preconditioning technique for linearly constrained optimization and its potential applications in medical therapy DD Erdmann-Pham, A Gibali, KH Küfer, P Süss Journal of Mathematics in Industry 6, 1-11, 2016 | | 2016 |
Understanding RNA-to-protein translation through the hydrodynamics of the inhomogeneous TASEP with arbitrary particle size. DD Erdmann-Pham, KD Duc, SS Batra, F Liu, D Bi, YS Song 2023 Spring Southeastern Sectional Meeting, 0 | | |