testDistancePowerLawDistrib: Check log-log linear relation between distance and Hi-C...
In HiCglmi: Probing Factor-Dependent Long-Range Contacts using Regression with Higher-Order Interaction Terms
Description
Usage
Arguments
Value
Author(s)
View source: R/HiCglmiMiscFun.R
Description
Function to check the log-log linear relation between distance and Hi-C count. At a particular distance range, the log-log function should be linear. The generalized linear regression with interactions (GLMI) can be used only if this log-log linear relation holds. One could consider the log-log linear relation holds if R2>0.95.
Usage
1
testDistancePowerLawDistrib(HTCL, distInter)
Arguments
HTCL
A HTClist object (HiTC R package).
distInter
Optional. A vector of two numerical values to set a distance range for Hi-C analysis.
Value
A list containing the log-log regression information.
Author(s)
Raphael Mourad
HiCglmi documentation built on Aug. 20, 2019, 1:04 a.m.
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Description Usage Arguments Value Author(s)
View source: R/HiCglmiMiscFun.R
Description
Function to check the log-log linear relation between distance and Hi-C count. At a particular distance range, the log-log function should be linear. The generalized linear regression with interactions (GLMI) can be used only if this log-log linear relation holds. One could consider the log-log linear relation holds if R2>0.95.
Usage
1 | testDistancePowerLawDistrib(HTCL, distInter)
|
Arguments
HTCL |
A HTClist object (HiTC R package). |
distInter |
Optional. A vector of two numerical values to set a distance range for Hi-C analysis. |
Value
A list containing the log-log regression information.
Author(s)
Raphael Mourad
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.
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