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MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis
Motivation: Supervised machine learning is widely applied to transcriptomic data to predict disease diagnosis, prognosis or survival. Robust and interpretable classifiers with high accuracy are usually favored for their clinical and translational potential. The top scoring pair (TSP) algorithm is an...
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| I publikationen: | Bioinformatics |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Oxford University Press
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6280887/ https://ncbi.nlm.nih.gov/pubmed/27153719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw115 |
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