Chao Gao

Integrating single-cell multimodal epigenomic data using 1D-convolutional neural networks

The paper introduces ConvNet-VAEs, a framework for integrating single-cell multimodal epigenomic data using 1D-convolutional variational autoencoders, showing improved dimension reduction and batch correction.

Population-scale skeletal muscle single-nucleus multi-omic profiling reveals extensive context specific genetic regulation

The paper performs population-scale single-nucleus multi-omic profiling of skeletal muscle to identify genetic regulation across cell types and traits.

Jointly Defining Cell Types from Multiple Single-Cell Datasets Using LIGER

The paper provides a protocol for using LIGER to jointly define cell types from multiple single-cell datasets, including RNA-seq and ATAC-seq data.

Iterative Refinement of Cellular Identity from Single-Cell Data Using Online Learning

The paper develops an online learning algorithm for integrating large single-cell datasets, enabling efficient processing of millions of cells with reduced memory usage and allowing iterative refinement of cellular identity.