PNNL-m-q/metabolomics_ensemble_score

Degnan, David [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Bramer, Lisa [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Flores, Javier [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]; Clendinen, Che [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]

doi:10.11578/dc.20241216.2

DOE OSTI · code-148900

PNNL-m-q/metabolomics_ensemble_score

Degnan, David [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Bramer, Lisa [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Flores, Javier [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]·Clendinen, Che [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]

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Abstract

An ensemble machine learning method to improve spectral similarity scores for GC-MS data

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Degnan, David [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Bramer, Lisa [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Flores, Javier [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Clendinen, Che [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]. 2024-12-16. PNNL-m-q/metabolomics_ensemble_score. https://doi.org/10.11578/dc.20241216.2

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