ROC: ROC
In Queen0044/scHiCBayes: Single cell HiC data imputation using Bayesian hierarchy model.
Description
Usage
Arguments
Value
Examples
Description
This package draws ROC (Receiver operating characteristic) curve to visually demonstrate ability
to tell SZ from DO.
Usage
1
ROC(observed, expected, result)
Arguments
observed
Observed sngle cell with each column being the upper triangular of single cell.
expected
Underline true count of simulated data.
result
Result from MCMCImpute funciton.
Value
A plot of ROC curve.
Examples
1
ROC(observed=K562_T1_7k, expected=K562_1_true, result=T1_7k_res)
Queen0044/scHiCBayes documentation built on Dec. 18, 2021, 8:43 a.m.
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Description Usage Arguments Value Examples
Description
This package draws ROC (Receiver operating characteristic) curve to visually demonstrate ability to tell SZ from DO.
Usage
1 | ROC(observed, expected, result)
|
Arguments
observed |
Observed sngle cell with each column being the upper triangular of single cell. |
expected |
Underline true count of simulated data. |
result |
Result from MCMCImpute funciton. |
Value
A plot of ROC curve.
Examples
1 | ROC(observed=K562_T1_7k, expected=K562_1_true, result=T1_7k_res)
|
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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