Skip to main content

Expression data for Lönnberg + Svensson et al, "Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria," Science Immunology (2017)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for lonnberg_svensson2017, version 1.0.0
Filename, size File type Python version Upload date Hashes
Filename, size lonnberg_svensson2017-1.0.0.tar.gz (1.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page