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Inner Composition Alignment (IOTA)


Description:
Inner composition alignment (IOTA) is a permutation-based association measure to detect regulatory links from very short time series. One time series is reodered with regards to the rank order of a second one and it monotonicity is evaluated.
Reported by: RD4, Norbert Marwan
Types: Software
Code
Language: C, R
OpenSource: true
  • Software, Data and Modeling @ PIK
  • hellmann@pik-potsdam.de

Software, Data and Modeling at PIK