SpiderMass MS and MSMS Spectra for Ovarian Cancer Typing

Raw mass spectrometry (MS) and tandem mass spectrometry (MSMS) spectra used for ex vivo ovarian cancer typing and immunoscoring. Developed by Léa Ledoux and hosted on Harvard Dataverse, the data supports surgical decision-making through multimodal machine learning. The collection was last updated in March 2026.

Use Cases

• Classification of ovarian cancer types using raw MS and MSMS spectral features
• Exploratory immunoscoring by analyzing molecular signatures within the mass spectra
• Training multimodal machine learning models to assist in real-time surgical decision support

Strengths

• Includes both MS and MSMS spectra for higher-order molecular identification
• Derived from specialized SpiderMass ambient mass spectrometry technology
• Supports multimodal machine learning applications in oncology

Limitations

• Missing documentation on record counts and file formats
• Unknown license terms may restrict commercial or academic reuse
• Lack of explicit column headers or metadata schema in the primary description

Provenance

Source

Léa Ledoux, Harvard Dataverse

Collection Method

SpiderMass ambient mass spectrometry

Freshness

Last updated March 2026.