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Dan Daniel Erdmann-Pham
Dan Daniel Erdmann-Pham
Stein Fellow, Statistics Department, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
The key parameters that govern translation efficiency
DD Erdmann-Pham, KD Duc, YS Song
Cell systems 10 (2), 183-192. e6, 2020
512020
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
282021
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
62021
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
42023
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
32021
Hydrodynamic Limit of the Inhomogeneous -TASEP with Open Boundaries: Derivation and Solution
DD Erdmann-Pham, KD Duc, YS Song
arXiv 2018, 2018
12018
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
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