match {FisHiCal} | R Documentation |
in-silico distances were computed from the random configuration conf
. A power law model was then used to generate matching in-silico Hi-C frequencies. Random Noise was further added to long range frequencies to mimic a typical situation for Hi-C data. This data structure is used to illustrate the usage of prepareCalib
and calibrate
.
data(match)
A data frame with 4950 observations on the following 2 variables.
distances
a numeric vector giving the in-silico FISH distances
.
frequencies
a numeric vector giving the in-silico Hi-C contact frequencies
.
Y. Shavit, F.K. Hamey, P. Lio', FisHiCal: an R package for iterative FISH-based calibration of Hi-C data, 2014 (submitted).
data(match) plot(match$frequencies ~ match$distances, xlab = "distances", ylab = "frequencies")