MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

Research output: Contribution to journalJournal articleResearchpeer-review

Documents

  • Fulltext

    Final published version, 3.43 MB, PDF document

Original languageEnglish
JournalJournal of Proteome Research
Volume21
Issue number2
Pages (from-to)535–546
Number of pages12
ISSN1535-3893
DOIs
Publication statusPublished - 2022

    Research areas

  • data-independent acquisition, spectral predictions, proteomics, deep-learning, R-software

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 291017690