hic: in-silico 100*100 Hi-C contact matrix with with 5% noise
In FisHiCal: Iterative FISH-based Calibration of Hi-C Data
Description
Usage
Details
References
Description
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. The resulting frequencies were then used to construct this matrix.
Usage
1
Details
This data structure is used to illustrate the usage of calibrate.
References
Y. Shavit, F.K. Hamey, P. Lio', FisHiCal: an R package for iterative FISH-based calibration of Hi-C data, 2014 (submitted).
FisHiCal documentation built on May 1, 2019, 10:09 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Details References
Description
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. The resulting frequencies were then used to construct this matrix.
Usage
1 |
Details
This data structure is used to illustrate the usage of calibrate.
References
Y. Shavit, F.K. Hamey, P. Lio', FisHiCal: an R package for iterative FISH-based calibration of Hi-C data, 2014 (submitted).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.