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Predicting missing proteomics values using machine learning: Filling the gap using transcriptomics and other biological features
Proteins are often considered the main biological element in charge of the different functions and structures of a cell. However, proteomics, the global study of all expressed proteins, often performed by mass spectrometry, is limited by its stochastic sampling and can only quantify a limited amount...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077535/ https://www.ncbi.nlm.nih.gov/pubmed/35601960 http://dx.doi.org/10.1016/j.csbj.2022.04.017 |