Tnasas

A class prediction and gene selection tool

Info

Members (researchers): Ramon Díaz Uriarte

Research Groups: Bioinformatics and Computational Biology in Cancer Evolution

Contact Email: ramon.diaz@iib.uam.es

Tool Repository: http://tnasas.iib.uam.es/

Documentation: http://tnasas.iib.uam.es/help/tnasas-help.html

Publications DOI: doi:10.1093/nar/gkm229

No Institution assigned.

Application domain:

Artificial Intelligence, Bioinformatics Software and Tools, Computational Techniques, Data Analysis, Frequentist analysis, High-performance Computing, Machine Learning in Biology, Multivariate statistics, Non-parametric statistics, Parallel Computing, RNA Sequencing (RNA-seq), Statistical Methods for Biology, Transcriptomics, Web-service

Technical details

Type of application

Web-service

Software compatibility

Linux
Mac
Windows

Hardware requirements

Programming language

C++
Python
R

Type of containerization

None

Wrapper type

None

Input file formats

csv
Other

Tool