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DIA-NN: Neural networks and interference correction enable deep proteome coverage in high throughput
We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification performance i...
Tallennettuna:
| Julkaisussa: | Nat Methods |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6949130/ https://ncbi.nlm.nih.gov/pubmed/31768060 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-019-0638-x |
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