| Name : R-blockForest
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| Version : 0.2.6
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.8
| Date : 2024-09-10 17:34:35
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| Group : Development/Libraries/Other
| Source RPM : R-blockForest-0.2.6-lp153.1.8.src.rpm
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| Size : 0.87 MB
| |
| Packager : (none)
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| Summary : Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data
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Description :
A random forest variant \'block forest\' (\'BlockForest\') tailored to the
prediction of binary, survival and continuous outcomes using
block-structured covariate data, for example, clinical covariates plus
measurements of a certain omics data type or multi-omics data, that is,
data for which measurements of different types of omics data and/or
clinical data for each patient exist. Examples of different omics data
types include gene expression measurements, mutation data and copy
number variation measurements. Block forest are presented in Hornung &
Wright (2019). The package includes four other random forest variants
for multi-omics data: \'RandomBlock\', \'BlockVarSel\', \'VarProb\', and
\'SplitWeights\'. These were also considered in Hornung & Wright (2019),
but performed worse than block forest in their comparison study based
on 20 real multi-omics data sets. Therefore, we recommend to use block
forest (\'BlockForest\') in applications. The other random forest
variants can, however, be consulted for academic purposes, for example,
in the context of further methodological developments. Reference:
Hornung, R. & Wright, M. N. (2019) Block Forests: random forests for
blocks of clinical and omics covariate data. BMC Bioinformatics 20:358.
< doi:10.1186/s12859-019-2942-y>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
