Rank-In is constructed to analyze the consolidated cancer transcriptomics data cross microarray and RNA-seq technologies.
It is useful for those:
1) self-owned data produced at different time via different technologies;
2) combined data produced by different labs under different platforms;
3) large data integrating historical samples in database.

An additional executable file can be download here

Ps: This executable file can be supported by windows 10 system and Python 3.9

Rank-In update:
   2021/8/27:For user convenienceļ¼Œan additional executable file is provided.
   2021/8/20:Add error prompt for submission of sample class and expression data.
   2021/8/19:Add gene up/down regulation column in deg.csv after submission.

Count of Visitors: conter12

[1].Tang K, Ji X, Zhou M, Deng Z, Huang Y, Zheng G, Cao Z. Rank-in: enabling integrative analysis across microarray and RNA-seq for cancer. Nucleic Acids Res. 2021 Sep 27;49(17):e99. doi: 10.1093/nar/gkab554. PMID: 34214174; PMCID: PMC8464058.