Although single-cell and spatial sequencing methods enable simultaneous measurement of
more than one biological modality, no technology can capture all modalities within the same …

Changepoint detection methods are used in many areas of science and engineering, for
example, in the analysis of copy number variation data to detect abnormalities in copy numbers …

We consider the problem of estimating common community structures in multi-layer stochastic
block models, where each single layer may not have sufficient signal strength to recover …

Detecting when the underlying distribution changes for the observed time series is a
fundamental problem arising in a broad spectrum of applications. In this paper, we study multiple …

Social biases on Wikipedia, a widely-read global platform, could greatly influence public
opinion. While prior research has examined man/woman gender bias in biography articles, …

Background Single-cell RNA-sequencing (scRNA) datasets are becoming increasingly
popular in clinical and cohort studies, but there is a lack of methods to investigate differentially …

Scientists often embed cells into a lower-dimensional space when studying single-cell RNA-seq
data for improved downstream analyses such as developmental trajectory analyses, but …

Multimodal single-cell technologies profile multiple modalities for each cell simultaneously
and enable a more thorough characterization of cell populations alongside investigations into …

We consider a time-ordered sequence of networks stemming from stochastic block models
where nodes gradually change memberships over time and no network at any single time …

We propose Destin2, a novel statistical and computational method for cross-modality dimension
reduction, clustering, and trajectory reconstruction for single-cell ATAC-seq data. The …