CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq

Single-cell RNA sequencing (scRNA-seq) has the potential to provide powerful, high-resolution signatures to inform disease prognosis and precision medicine.

Data and Resources

Cite this as

Bryan He, Matthew Thomson, Meena Subramaniam, Richard Perez, Chun Jimmie Ye, James Zou (2024). Dataset: CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq. https://doi.org/10.57702/2lhcxb21

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2110.07069
Author Bryan He
More Authors
Matthew Thomson
Meena Subramaniam
Richard Perez
Chun Jimmie Ye
James Zou
Homepage https://github.com/bryanhe/CloudPred