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Bayesian variable selection logistic regression with paired proteomic measurements
We explore the problem of variable selection in a case‐control setting with mass spectrometry proteomic data consisting of paired measurements. Each pair corresponds to a distinct isotope cluster and each component within pair represents a summary of isotopic expression based on either the intensity...
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| Pubblicato in: | Biom J |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6175404/ https://ncbi.nlm.nih.gov/pubmed/29943441 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201700182 |
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