https://github.com/bioconductor-source/top
Science Score: 13.0%
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○CITATION.cff file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (4.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: R
- Default Branch: devel
- Size: 194 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
TOP
Due to data scale differences between multiple omics data, a model constructed from a training data tends to have poor prediction power on a validation data. While the usual bioinformatics approach is to re-normalise both the training and the validation data, this step may not be possible due to ethics constrains. TOP avoids re-normalisation of additional data through the use of log-ratio features and thus also enable prediction for single omics samples.
The novelty of the TOP procedure lies in its ability to construct a transferable model across gene expression platforms and for prospective experiments. Such a transferable model can be trained to make predictions on independent validation data with an accuracy that is similar to a re-substituted model. The TOP procedure also has the flexibility to be adapted to suit the most common clinical response variables, including linear response, binomial and Cox PH models.
Owner
- Name: (WIP DEV) Bioconductor Packages
- Login: bioconductor-source
- Kind: organization
- Email: maintainer@bioconductor.org
- Website: https://bioconductor.org
- Repositories: 1
- Profile: https://github.com/bioconductor-source
Source code for packages accepted into Bioconductor
GitHub Events
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Dependencies
- ClassifyR * imports
- Hmisc * imports
- assertthat * imports
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- directPA * imports
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- latex2exp * imports
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- statmod * imports
- stats * imports
- stringr * imports
- survival * imports
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