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ProtRank: bypassing the imputation of missing values in differential expression analysis of proteomic data
BACKGROUND: Data from discovery proteomic and phosphoproteomic experiments typically include missing values that correspond to proteins that have not been identified in the analyzed sample. Replacing the missing values with random numbers, a process known as “imputation”, avoids apparent infinite fo...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6842221/ https://ncbi.nlm.nih.gov/pubmed/31706265 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3144-3 |
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