MOESM2 of Discovery of non-invasive biomarkers for the diagnosis of endometriosis

Stella Irungu, D. Mavrelos, Jenny Worthington, Oleg Blyuss, Ertan Sarıdoğan, John F. Timms
2019 · doi:10.6084/m9.figshare.7963346 · W4394226485
dataset OA: green CC0
🔓 Open OA copy View on OpenAlex View at publisher
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-07-05 ⓘ

This study identified candidate protein biomarkers using TMT-based LC-MS/MS profiling for the non-invasive diagnosis of endometriosis.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Additional file 2. Results of TMT-based LC-MS/MS profiling with candidate scoring.

My notes (saved in your browser only)

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK