Computational Metabolomics: From Cheminformatics to Machine Learning

Dagstuhl Seminar
Event dagstuhl_perspectives_workshop Q111803743
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Computational Metabolomics: From Cheminformatics to Machine Learning

Summary

Computational Metabolomics: From Cheminformatics to Machine Learning is a Dagstuhl Perspectives Workshop[1].

Key Facts

  • Computational Metabolomics: From Cheminformatics to Machine Learning's instance of is recorded as From Cheminformatics to Machine Learning — instance of (P31): Dagstuhl Perspectives Workshop[2].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's follows is recorded as From Cheminformatics to Machine Learning — follows (P155): Computational Metabolomics: Identification, Interpretation, Imaging[3].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's followed by is recorded as From Cheminformatics to Machine Learning — followed by (P156): Computational Metabolomics: From Spectra to Knowledge[4].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's part of the series is recorded as From Cheminformatics to Machine Learning — part of the series (P179): Dagstuhl Perspectives Workshop series[5].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's catalog code is recorded as 20051[6].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's start time is recorded as +2020-01-26T00:00:00Z[7].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's end time is recorded as +2020-01-31T00:00:00Z[8].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's organizer is recorded as From Cheminformatics to Machine Learning — organizer (P664): Sebastian Böcker[9].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's organizer is recorded as From Cheminformatics to Machine Learning — organizer (P664): Corey D. Broeckling[10].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's organizer is recorded as From Cheminformatics to Machine Learning — organizer (P664): Emma L. Schymanski[11].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's organizer is recorded as From Cheminformatics to Machine Learning — organizer (P664): Nicola Zamboni[12].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Oliver Alka[13].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Nikiforos Alygizakis[14].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Sebastian Böcker[15].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Evan E. Bolton[16].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Corey D. Broeckling[17].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Céline Brouard[18].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Jacques Corbeil[19].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Pieter C. Dorrestein[20].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Xiuxia Du[21].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Tim Ebbels[22].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Markus Fleischauer[23].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Laurent Gatto[24].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Kati Hanhineva[25].
  • Computational Metabolomics: From Cheminformatics to Machine Learning's participant is recorded as From Cheminformatics to Machine Learning — participant (P710): Rick Helmus[26].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] . wikidata.org.
  2. [3] . wikidata.org.
  3. [4] . wikidata.org.
  4. [5] . wikidata.org.
  5. [6] . wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  9. [10] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  10. [11] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  11. [12] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  12. [13] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  13. [14] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  14. [15] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  15. [16] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  16. [17] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  17. [18] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  18. [19] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  19. [20] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  20. [21] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  21. [22] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  22. [23] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  23. [24] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  24. [25] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.
  25. [26] . dagstuhl.de. dagstuhl.de. Provenance: wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Computational Metabolomics: From Cheminformatics to Machine Learning. Retrieved May 3, 2026, from https://4ort.xyz/entity/computational-metabolomics-from-cheminformatics-to-machine-learning
MLA “Computational Metabolomics: From Cheminformatics to Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/computational-metabolomics-from-cheminformatics-to-machine-learning.
BibTeX @misc{4ortxyz_computational-metabolomics-from-cheminformatics-to-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational Metabolomics: From Cheminformatics to Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/computational-metabolomics-from-cheminformatics-to-machine-learning}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Computational Metabolomics: From Cheminformatics to Machine Learning — https://4ort.xyz/entity/computational-metabolomics-from-cheminformatics-to-machine-learning (retrieved 2026-05-03)

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