Papers: 10.1038/srep39259

https://doi.org/10.1038/srep39259

A cloud-based workflow to quantify transcript-expression levels in public cancer compendia

Cited by: 67
Author(s): PJ Tatlow, Stephen R. Piccolo
Published: over 9 years ago

Software Mentions 2

pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.
Papers that mentioned: 307
Very Likely Science (100)
pypi: sysstat
Script to collect PC usage statistics
Papers that mentioned: 4
Very Likely Science (75)