13 citations · 23 across the 5 of their papers we have counts for
6 papers
Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single cell RNA-sequencing datasets
Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers +3
Deconvolution of cell mixtures in "bulk" transcriptomic samples from homogenate human tissue is important for understanding the pathologies of diseases. However, several experiment…
Design Principles for Data Analysis
Lucy D'Agostino McGowan, Roger D. Peng, Stephanie C. Hicks
The data science revolution has led to an increased interest in the practice of data analysis. While much has been written about statistical thinking, a complementary form of think…
Reproducible Research: A Retrospective
Roger D. Peng, Stephanie C. Hicks
Rapid advances in computing technology over the past few decades have spurred two extraordinary phenomena in science: large-scale and high-throughput data collection coupled with t…
Evaluating the Success of a Data Analysis
Stephanie C. Hicks, Roger D. Peng
A fundamental problem in the practice and teaching of data science is how to evaluate the quality of a given data analysis, which is different than the evaluation of the science or…
Elements and Principles for Characterizing Variation between Data Analyses
Stephanie C. Hicks, Roger D. Peng
The data revolution has led to an increased interest in the practice of data analysis. For a given problem, there can be significant or subtle differences in how a data analyst con…
A Guide to Teaching Data Science
Stephanie C. Hicks, Rafael A. Irizarry
Demand for data science education is surging and traditional courses offered by statistics departments are not meeting the needs of those seeking training. This has led to a number…