FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics | ScienceToStartup | ScienceToStartup

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References (56)

[1]

Adduct-Induced Variability in Tandem Mass Spectrometry.

2025Botao Liu, Zhifeng Tang et al.

[2]

MassSpecGym: A benchmark for the discovery and identification of molecules

2024Roman Bushuiev, Anton Bushuiev et al.

[3]

Tandem mass spectrum prediction for small molecules using graph transformers

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"FlexMS is a flexible benchmarking framework for deep learning-based mass spectrum prediction in metabolomics."

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FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics

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References (56)

Founder's Pitch

"FlexMS is a flexible benchmarking framework for deep learning-based mass spectrum prediction in metabolomics."

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FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics

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References (56)

Founder's Pitch

"FlexMS is a flexible benchmarking framework for deep learning-based mass spectrum prediction in metabolomics."

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