- Data Sets
- Training Resources
scPattern is an R package to identify and classify gene expression changes in ordered single-cell RNA-seq experiments
Regulatory interaction prediction for promoters and long-range enhancers
MetaSRA: normalized metadata for the Sequence Read Archive
MetaSRA is an annotation/re-coding of sample-specific metadata in the Sequence Read Archive using biomedical ontologies. Currently, MetaSRA maps biological samples to biologically relevent terms in the Disease Ontology, Experimental Factor Ontology, Cell Ontology, Uberon, and Cellosaurus.
This pipeline was used to construct the MetaSRA database which provides normalized metadata for the Sequence Read Archive .This pipeline re-annotates key-value descriptions of biological samples using biomedical ontologies.
Ava: From data to insights through conversation
An open-source data integration and data preparation ecosystem (powered by Python) to enable data scientists to perform integration and analysis of data.
Structure-leveraged methods in breast cancer risk prediction
Hypothesis testing in unsupervised domain adaptation with applications in neuroimaging
Minimax optimal rates of estimation in high dimensional additive models
Degrees of freedom in low rank matrix estimation