← Search

Data · dataset · 2025

Multi-omics and machine learning approaches uncover metabolic biomarkers for diagnosis of germinoma

Listed in ScienceDB

Using metabolomics and a multi-step machine learning approach, potential diagnostic metabolic biomarkers in the cerebrospinal fluid of 65 patients (26 germinoma, 31 non-iGCT, 8 NGGCT) were identified.

Description

A subset of these samples (13 plus 8/9 random samples) was used as test data to evaluate classification models.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Proteomics and metabolomics 78%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2608512 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:field:310205enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (78%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title