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Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction
Research article (Journal of Pharmaceutical and Biomedical Analysis, 2020) · cited 25× · AI/ML
Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction
Summary
Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction is a scholarly article[1].
Key Facts
Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-of-the-chemical-compounds-in-pheretima-aspergillum-e-perrier-using-a-combination-of-mass-spectral-molecula
MLA“Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-of-the-chemical-compounds-in-pheretima-aspergillum-e-perrier-using-a-combination-of-mass-spectral-molecula.
BibTeX@misc{4ortxyz_investigation-of-the-chemical-compounds-in-pheretima-aspergillum-e-perrier-using-a-combination-of-mass-spectral-molecula_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-of-the-chemical-compounds-in-pheretima-aspergillum-e-perrier-using-a-combination-of-mass-spectral-molecula}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation of the chemical compounds in Pheretima aspergillum (E. Perrier) using a combination of mass spectral molecular networking and unsupervised substructure annotation topic modeling together with in silico fragmentation prediction — https://4ort.xyz/entity/investigation-of-the-chemical-compounds-in-pheretima-aspergillum-e-perrier-using-a-combination-of-mass-spectral-molecula (retrieved 2026-05-24)