182 related articles for article (PubMed ID: 37798300)
1. Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer.
Tschodu D; Lippoldt J; Gottheil P; Wegscheider AS; Käs JA; Niendorf A
Sci Rep; 2023 Oct; 13(1):16402. PubMed ID: 37798300
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of public cancer datasets and signatures identifies TP53 mutant signatures with robust prognostic and predictive value.
Lehmann BD; Ding Y; Viox DJ; Jiang M; Zheng Y; Liao W; Chen X; Xiang W; Yi Y
BMC Cancer; 2015 Mar; 15():179. PubMed ID: 25886164
[TBL] [Abstract][Full Text] [Related]
3. Identification and transfer of spatial transcriptomics signatures for cancer diagnosis.
Yoosuf N; Navarro JF; Salmén F; Ståhl PL; Daub CO
Breast Cancer Res; 2020 Jan; 22(1):6. PubMed ID: 31931856
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive Evaluation of Machine Learning Models and Gene Expression Signatures for Prostate Cancer Prognosis Using Large Population Cohorts.
Li R; Zhu J; Zhong WD; Jia Z
Cancer Res; 2022 May; 82(9):1832-1843. PubMed ID: 35358302
[TBL] [Abstract][Full Text] [Related]
5. BreastMark: an integrated approach to mining publicly available transcriptomic datasets relating to breast cancer outcome.
Madden SF; Clarke C; Gaule P; Aherne ST; O'Donovan N; Clynes M; Crown J; Gallagher WM
Breast Cancer Res; 2013; 15(4):R52. PubMed ID: 23820017
[TBL] [Abstract][Full Text] [Related]
6. Protein interaction network underpins concordant prognosis among heterogeneous breast cancer signatures.
Chen J; Sam L; Huang Y; Lee Y; Li J; Liu Y; Xing HR; Lussier YA
J Biomed Inform; 2010 Jun; 43(3):385-96. PubMed ID: 20350617
[TBL] [Abstract][Full Text] [Related]
7. Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice.
Liu J; Dong C; Jiang G; Lu X; Liu Y; Wu H
BMC Med Genomics; 2020 Sep; 13(Suppl 9):135. PubMed ID: 32957968
[TBL] [Abstract][Full Text] [Related]
8. The prognostic potential of alternative transcript isoforms across human tumors.
Trincado JL; Sebestyén E; Pagés A; Eyras E
Genome Med; 2016 Aug; 8(1):85. PubMed ID: 27535130
[TBL] [Abstract][Full Text] [Related]
9. Cancer Grade Model: a multi-gene machine learning-based risk classification for improving prognosis in breast cancer.
Amiri Souri E; Chenoweth A; Cheung A; Karagiannis SN; Tsoka S
Br J Cancer; 2021 Aug; 125(5):748-758. PubMed ID: 34131308
[TBL] [Abstract][Full Text] [Related]
10. Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures.
Wirapati P; Sotiriou C; Kunkel S; Farmer P; Pradervand S; Haibe-Kains B; Desmedt C; Ignatiadis M; Sengstag T; Schütz F; Goldstein DR; Piccart M; Delorenzi M
Breast Cancer Res; 2008; 10(4):R65. PubMed ID: 18662380
[TBL] [Abstract][Full Text] [Related]
11. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
12. Molecular Subtypes Improve Prognostic Value of International Metastatic Renal Cell Carcinoma Database Consortium Prognostic Model.
de Velasco G; Culhane AC; Fay AP; Hakimi AA; Voss MH; Tannir NM; Tamboli P; Appleman LJ; Bellmunt J; Kimryn Rathmell W; Albiges L; Hsieh JJ; Heng DY; Signoretti S; Choueiri TK
Oncologist; 2017 Mar; 22(3):286-292. PubMed ID: 28220024
[TBL] [Abstract][Full Text] [Related]
13. Prognostic stromal gene signatures in breast cancer.
Winslow S; Leandersson K; Edsjö A; Larsson C
Breast Cancer Res; 2015 Feb; 17(1):23. PubMed ID: 25848820
[TBL] [Abstract][Full Text] [Related]
14. Identification of a prognostic LncRNA signature for ER-positive, ER-negative and triple-negative breast cancers.
Liu D
Breast Cancer Res Treat; 2020 Aug; 183(1):95-105. PubMed ID: 32601968
[TBL] [Abstract][Full Text] [Related]
15. Gene profiling in breast cancer: time to move forward.
Espinosa E; Vara JÁ; Navarro IS; Gámez-Pozo A; Pinto A; Zamora P; Redondo A; Feliu J
Cancer Treat Rev; 2011 Oct; 37(6):416-21. PubMed ID: 21277684
[TBL] [Abstract][Full Text] [Related]
16. Integration of bioinformatics and machine learning strategies identifies APM-related gene signatures to predict clinical outcomes and therapeutic responses for breast cancer patients.
Shen HY; Xu JL; Zhu Z; Xu HP; Liang MX; Xu D; Chen WQ; Tang JH; Fang Z; Zhang J
Neoplasia; 2023 Nov; 45():100942. PubMed ID: 37839160
[TBL] [Abstract][Full Text] [Related]
17. Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER).
Bueno-de-Mesquita JM; van Harten WH; Retel VP; van 't Veer LJ; van Dam FS; Karsenberg K; Douma KF; van Tinteren H; Peterse JL; Wesseling J; Wu TS; Atsma D; Rutgers EJ; Brink G; Floore AN; Glas AM; Roumen RM; Bellot FE; van Krimpen C; Rodenhuis S; van de Vijver MJ; Linn SC
Lancet Oncol; 2007 Dec; 8(12):1079-1087. PubMed ID: 18042430
[TBL] [Abstract][Full Text] [Related]
18. Systematic assessment of prognostic gene signatures for breast cancer shows distinct influence of time and ER status.
Zhao X; Rødland EA; Sørlie T; Vollan HK; Russnes HG; Kristensen VN; Lingjærde OC; Børresen-Dale AL
BMC Cancer; 2014 Mar; 14():211. PubMed ID: 24645668
[TBL] [Abstract][Full Text] [Related]
19. Improved breast cancer prognosis through the combination of clinical and genetic markers.
Sun Y; Goodison S; Li J; Liu L; Farmerie W
Bioinformatics; 2007 Jan; 23(1):30-7. PubMed ID: 17130137
[TBL] [Abstract][Full Text] [Related]
20. The prognostic value of temporal in vitro and in vivo derived hypoxia gene-expression signatures in breast cancer.
Starmans MH; Chu KC; Haider S; Nguyen F; Seigneuric R; Magagnin MG; Koritzinsky M; Kasprzyk A; Boutros PC; Wouters BG; Lambin P
Radiother Oncol; 2012 Mar; 102(3):436-43. PubMed ID: 22356756
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
