- ORCID iD
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0000-0002-7773-0621
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- PhD Thesis
- open access
Statistical methods for testing differential gene expression in bulk and single-cell RNA sequencing data
(2020) -
- Journal Article
- A1
- open access
SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data
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- Journal Article
- A1
- open access
On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments
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- Conference Paper
- C3
- open access
Probabilistic index models for testing differential gene expression in single-cell RNA sequencing data
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- Conference Paper
- C3
- open access
Probabilistic index models for testing differential gene expression in single-cell RNA-sequencing data
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- Conference Paper
- C3
- open access
Differential gene expression analysis of RNA-sequencing data : evaluation of DGE tools for long non-coding RNA-sequencing data
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- Journal Article
- A1
- open access
Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data
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- Conference Paper
- C3
- open access
Nonparametric simulation to evaluate the performance of statistical methods for differential gene expression analysis of long non-coding RNA-seq data in cancer studies