Research graph
References from Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data.. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2017
10.3322/caac.21387 · 2017 · External reference
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10.1136/esmoopen-2019-000562
10.1136/esmoopen-2019-000562 · External reference
Acute myeloid leukemia and myelodysplastic syndrome after adjuvant chemotherapy: A population-based study among older breast cancer patients: AML/MDS After Adjuvant Chemotherapy
10.1002/cncr.31144 · 2018 · External reference
10.1038/ncomms13041
10.1038/ncomms13041 · External reference
Pan-cancer analysis of transcriptional metabolic dysregulation using the cancer genome atlas
10.1038/s41467-018-07232-8 · 2018 · External reference
The metabolic mechanisms of breast cancer metastasis
10.3389/fonc.2020.602416 · 2021 · External reference
Proteomic profiling of breast cancer metabolism identifies SHMT2 and ASCT2 as prognostic factors
10.1186/s13058-017-0905-7 · 2017 · External reference
Targeted metabolomics
2012 · External reference
10.1007/s13361-016-1469-y
10.1007/s13361-016-1469-y · External reference
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2010 · External reference
Applications of machine learning in metabolomics: disease modeling and classification
10.3389/fgene.2022.1017340 · 2022 · External reference
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10.1016/j.csbj.2020.05.021
10.1016/j.csbj.2020.05.021 · External reference
PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer
10.1186/bcr2464 · 2010 · External reference
An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation
10.1186/s13058-017-0852-3 · 2017 · External reference
10.1158/0008-5472.can-10-1319
10.1158/0008-5472.can-10-1319 · External reference
Identification of a serum-detectable metabolomic fingerprint potentially correlated with the presence of micrometastatic disease in early breast cancer patients at varying risks of disease relapse by traditional prognostic methods
10.1093/annonc/mdq606 · 2011 · External reference
10.1021/acs.jproteome.9b00755
10.1021/acs.jproteome.9b00755 · External reference
Unsupervised hierarchical clustering of head and neck cancer patients by pre-treatment plasma metabolomics creates prognostic metabolic subtypes
10.3390/cancers15123184 · 2023 · External reference
10.1038/s41416-019-0619-y
10.1038/s41416-019-0619-y · External reference
10.1056/nejmoa1804710
10.1056/nejmoa1804710 · External reference
70-Gene signature as an aid to treatment decisions in early-stage breast cancer
10.1056/nejmoa1602253 · 2016 · External reference
21-Gene assay to inform chemotherapy benefit in node-positive breast cancer
10.1056/nejmoa2108873 · 2021 · External reference
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2022 · External reference
Model-Based Clustering
10.1146/annurev-statistics-033121-115326 · 2023 · External reference
Healthcare biclustering-based prediction on gene expression dataset. Teekaraman Y, éditeur
10.1155/2022/2263194 · 2022 · External reference
Deep learning-based clustering approaches for bioinformatics
10.1093/bib/bbz170 · 2021 · External reference
Association between plasma diacetylspermine and tumor spermine synthase with outcome in triple-negative breast cancer
10.1093/jnci/djz182 · 2020 · External reference
