RNA-Sieve: A likelihood-based deconvolution of bulk gene
expression data using single-cell references Dan D. Erdmann-Pham*, Jonathan Fischer*, Justin Hong, Yun S.
Song Genome
Research(2021). [bioXiv preprint here] [software here]
EGGTART: A computational tool to visualize the dynamics of
biophysical transport processes via the inhomogeneous
ℓ-TASEP Dan D. Erdmann-Pham*, Wonjun Son*, Khanh Dao Duc, Yun S.
Song Biophysical Journal (2021). [arXiv preprint here] [software here]
The key parameters that govern translation efficiency Dan D. Erdmann-Pham, Khanh Dao Duc, Yun S. Song Cell
Systems 10(2) (2020). [arXiv preprint here]
[slides
here]
Singular Value Homogenization: A simple preconditioning
technique for linearly constrained optimization and its
potential applications in medical therapy Dan D. Erdmann-Pham, Aviv Gibali, Karl-Heinz Küfer, Philip Süss Journal
of Mathematics in Industry 6 (2016)
Preprints
Generalized Spacing-Statistics and a New Family of
Non-Parametric Tests Dan D. Erdmann-Pham, Jonathan Terhorst, Yun S. Song
Submitted. [arXiv preprint
here] [slides here]
Thesis
Probabilistic Models and Statistical Tools for Gene
Expression Analysis Dan D. Erdmann-Pham Ph.D. Dissertation