Author

Patrik Friedlos

ETH Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Eliza HarrisiD· 1 shared Lilian GasseriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Eliza HarrisORCID

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1 paper

Recent·Most cited

Retention time prediction to facilitate molecularstructure identification with tandem mass spectrometry

Patrik Friedlos, Lilian Gasser, Eliza Harris

The paper evaluates machine learning methods for predicting hydrophobicity as a proxy for retention time in tandem mass spectrometry, finding that ensemble methods and multitask learning improve generalization.

bioRxiv · Oct 19, 2022 · PreprintBioinformatics