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PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms
The urinary proteome is a promising pool of biomarkers of kidney disease. However, the protein changes observed in urine only partially reflect the deregulated mechanisms within kidney tissue. In order to improve on the mechanistic insight based on the urinary protein changes, we developed a new pri...
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| Опубликовано в: : | Sci Rep |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7952700/ https://ncbi.nlm.nih.gov/pubmed/33707596 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-85135-3 |
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