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09/13/2023
Simultaneous inference for generalized linear models with unmeasured confounders
Tens of thousands of simultaneous hypothesis tests are routinely perform...
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02/27/2023
Extrapolated cross-validation for randomized ensembles
Ensemble methods such as bagging and random forests are ubiquitous in fi...
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03/03/2022
From local to global gene co-expression estimation using single-cell RNA-seq data
In genomics studies, the investigation of the gene relationship often br...
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01/06/2022
Exponential family measurement error models for single-cell CRISPR screens
CRISPR genome engineering and single-cell RNA sequencing have transforme...
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10/14/2021
A Distribution-Free Independence Test for High Dimension Data
Test of independence is of fundamental importance in modern data analysi...
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06/26/2020
The huge Package for High-dimensional Undirected Graph Estimation in R
We describe an R package named huge which provides easy-to-use functions...
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11/19/2019
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Sparse principal component analysis (PCA) is an important technique for ...
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12/19/2018
Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection
Risk for autism can be influenced by genetic mutations in hundreds of ge...
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04/09/2007
