HAL (France)
open access
SpiderMass ambient mass spectrometry and multimodal machine learning enable ex vivo ovarian cancer typing and exploratory immunoscoring
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AbGaze: Attentive Geometric Representation Learning for End-to-End Antibody Design#1129889
- Feature Down-Selection to Improve Supervised Classification by Machine Learning on Mass Spectrometry Imaging Data.#319118
- Leveraging AI for Enhanced Breast Cancer Detection: A Focus on Dimensionality Reduction and Imbalanced Learning#365617
- Synergistic Information Disentanglement for Omni-modal Slide Representation Learning in Computational Pathology#927478
- Disentangling Heterogeneous Molecular Networks for Multi-Omics-Driven Cancer Driver Discovery.#1107426
Record · ID 676943
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive