87 citations · 222 across the 6 of their papers we have counts for
6 papers
Reply to "Issues arising from benchmarking single-cell RNA sequencing imputation methods"
Mo Huang, Nancy R. Zhang
In our Brief Communication (DOI: 10.1038/s41592-018-0033-z), we presented the method SAVER for recovering true gene expression levels in noisy single cell RNA sequencing data. We e…
Multiple hypothesis testing adjusted for latent variables, with an application to the AGEMAP gene expression data
Yunting Sun, Nancy R. Zhang, Art B. Owen
In high throughput settings we inspect a great many candidate variables (e.g., genes) searching for associations with a primary variable (e.g., a phenotype). High throughput hypoth…
Detecting mutations in mixed sample sequencing data using empirical Bayes
Omkar Muralidharan, Georges Natsoulis, John Bell +2
We develop statistically based methods to detect single nucleotide DNA mutations in next generation sequencing data. Sequencing generates counts of the number of times each base wa…
Detecting simultaneous variant intervals in aligned sequences
David Siegmund, Benjamin Yakir, Nancy R. Zhang
Given a set of aligned sequences of independent noisy observations, we are concerned with detecting intervals where the mean values of the observations change simultaneously in a s…
Subsampling Methods for genomic inference
Peter J. Bickel, Nathan Boley, James B. Brown +2
Large-scale statistical analysis of data sets associated with genome sequences plays an important role in modern biology. A key component of such statistical analyses is the comput…
Transcription factor binding site prediction with multivariate gene expression data
Nancy R. Zhang, Mary C. Wildermuth, Terence P. Speed
Multi-sample microarray experiments have become a standard experimental method for studying biological systems. A frequent goal in such studies is to unravel the regulatory relatio…