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 only be support by window 10 system and Python 3.9





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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.

Citation:
[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 Jul 2:gkab554. doi: 10.1093/nar/gkab554. Epub ahead of print. PMID: 34214174.