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Published January 28, 2025 | Version v1

Additional Data from: Machine Learning for Enhanced Identification Probability in RPLC/HRMS Non-Targeted Workflows

  • 1. ROR icon Hong Kong Baptist University
  • 2. ROR icon University of Amsterdam
  • 3. ROR icon Yale University

Description

§  Additional file 1

A spreadsheet with a list of compounds used to train the pre-trained model, the molecular fingerprint-to-retention time index (MF-to-RTI) model.

§  Additional file 2

A spreadsheet with a list of pre-selected cumulative neutral loss (CNL) masses-of-interest and their corresponding quantities.

§  Additional file 3

A spreadsheet with a list of compounds and their corresponding quantities of tandem mass spectra used for training the cumulative neutral loss-to-retention time index (CNL-to-RTI) model.

§  Additional file 4

A spreadsheet with a list of true RTI values of compound calibrants used in Model 1’s training and testing with publicly available MS/MS spectra, accompanying the predicted values from Models 1 and 2, and the RTI error from their true values.

Files

Files (1.2 MB)

Name Size Download all
md5:befaaaf5087191867763c9f18e17a886
150.8 kB Download
md5:366e6f54461e5e41c3f9f66562dda22a
246.2 kB Download
md5:243ed901f86a2e70cab1a3668a60ec96
730.3 kB Download
md5:405c825d0c164bc19f1b0999d1c22ed0
79.7 kB Download

Additional details

Related works

Is supplement to
Journal article: 10.26434/chemrxiv-2024-mdl4q-v2 (DOI)

Dates

Submitted
2025-01-28

References

  • exposomeIDProba