Machine learning methods for DNA sequence analysis.

RNA-seq prediction with deep convolutional neural networks.

Calico Lipidomics and Metabolomics (CLaM) Analysis provides a suite of functions which support data manipulation, statistical analysis and visualizations of mzrollDB files created by MAVEN.

Analyses related to the Borzoi paper.

software to detect doublets

romic represents high-dimensional measurements by persistently tracking features, samples, and measurements as a dataset is modified and reformatted. It provides a suite of functions that build on this framework to support data analysis and visualization. These functions are combined into shiny apps tailored to exploratory data analysis.

Fit phenomenological sigmoid and impulse curves with priors to improve interpretability

Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.

Sequential regulatory activity predictions with deep convolutional neural networks.

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data