HumanNet_sample: HumanNet_sample
In dSimer: Integration of Disease Similarity Methods
Description
Value
References
See Also
Examples
Description
a sample of HumanNet likelihood score data which will be used in method FunSim.
Value
HumanNet_sample is a data.frame has 22708 rows and 3 columns. Each row
indicates a pair of genes and their normalized likelihood score in HumanNet.
HumanNet_sample will be used in method FunSim after being converted to list
by method LLSn2List.
The entire data of HumanNet can be downloaded from
the website http://www.functionalnet.org/humannet/ .
References
Cheng L, Li J, Ju P, et al. SemFunSim: a new method for measuring
disease similarity by integrating semantic and gene functional association[J].
PloS one, 2014, 9(6): e99415.
See Also
Examples
1
dSimer documentation built on May 2, 2019, 12:40 a.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 Value References See Also Examples
Description
a sample of HumanNet likelihood score data which will be used in method FunSim.
Value
HumanNet_sample is a data.frame has 22708 rows and 3 columns. Each row indicates a pair of genes and their normalized likelihood score in HumanNet. HumanNet_sample will be used in method FunSim after being converted to list by method LLSn2List. The entire data of HumanNet can be downloaded from the website http://www.functionalnet.org/humannet/ .
References
Cheng L, Li J, Ju P, et al. SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association[J]. PloS one, 2014, 9(6): e99415.
See Also
Examples
1 |
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.