| Name : R-NetInt
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.8
| Date : 2024-06-14 11:14:21
|
| Group : Development/Libraries/Other
| Source RPM : R-NetInt-1.0.0-lp153.1.8.src.rpm
|
| Size : 0.20 MB
| |
| Packager : (none)
| |
| Summary : Methods for Unweighted and Weighted Network Integration
|
Description :
Implementation of network integration approaches comprising unweighted
and weighted integration methods. Unweighted integration is performed
considering the average, per-edge average, maximum and minimum of
networks edges. Weighted integration takes into account a weight for
each network during the fusion process, where the weights express the
\'\'predictiveness strength\'\' of each network considering a specific
predictive task. Weights can be learned using a machine learning
algorithm able to associate the weights to the assessment of the
accuracy of the learning algorithm trained on the network itself. The
implemented methods can be applied to effectively integrate different
biological networks modelling a wide range of problems in
bioinformatics (e.g. disease gene prioritization, protein function
prediction, drug repurposing, clinical outcome prediction).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
