140 related articles for article (PubMed ID: 28716511)
1. An ensemble predictive modeling framework for breast cancer classification.
Nagarajan R; Upreti M
Methods; 2017 Dec; 131():128-134. PubMed ID: 28716511
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An approach for deciphering patient-specific variations with application to breast cancer molecular expression profiles.
Nagarajan R; Upreti M
J Biomed Inform; 2016 Oct; 63():120-130. PubMed ID: 27477838
[TBL] [Abstract][Full Text] [Related]
4. A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer.
Staiger C; Cadot S; Kooter R; Dittrich M; Müller T; Klau GW; Wessels LF
PLoS One; 2012; 7(4):e34796. PubMed ID: 22558100
[TBL] [Abstract][Full Text] [Related]
5. An ensemble machine learning approach to predict survival in breast cancer.
Djebbari A; Liu Z; Phan S; Famili F
Int J Comput Biol Drug Des; 2008; 1(3):275-94. PubMed ID: 20054993
[TBL] [Abstract][Full Text] [Related]
6. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.
Ali S; Majid A; Khan A
Amino Acids; 2014 Apr; 46(4):977-93. PubMed ID: 24390396
[TBL] [Abstract][Full Text] [Related]
7. Prediction of early breast cancer patient survival using ensembles of hypoxia signatures.
Gong IY; Fox NS; Huang V; Boutros PC
PLoS One; 2018; 13(9):e0204123. PubMed ID: 30216362
[TBL] [Abstract][Full Text] [Related]
8. The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.
Milioli HH; Vimieiro R; Riveros C; Tishchenko I; Berretta R; Moscato P
PLoS One; 2015; 10(7):e0129711. PubMed ID: 26132585
[TBL] [Abstract][Full Text] [Related]
9. A model-free ensemble method for class prediction with application to biomedical decision making.
Kodell RL; Pearce BA; Baek S; Moon H; Ahn H; Young JF; Chen JJ
Artif Intell Med; 2009 Jul; 46(3):267-76. PubMed ID: 19081231
[TBL] [Abstract][Full Text] [Related]
10. Cancer classification from gene expression data by NPPC ensemble.
Ghorai S; Mukherjee A; Sengupta S; Dutta PK
IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):659-71. PubMed ID: 20479504
[TBL] [Abstract][Full Text] [Related]
11. Comparative evaluation of network features for the prediction of breast cancer metastasis.
Adnan N; Liu Z; Huang THM; Ruan J
BMC Med Genomics; 2020 Apr; 13(Suppl 5):40. PubMed ID: 32241278
[TBL] [Abstract][Full Text] [Related]
12. A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification.
Krawczyk B; Schaefer G; Woźniak M
Artif Intell Med; 2015 Nov; 65(3):219-27. PubMed ID: 26319694
[TBL] [Abstract][Full Text] [Related]
13. Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Agrawal U; Soria D; Wagner C; Garibaldi J; Ellis IO; Bartlett JMS; Cameron D; Rakha EA; Green AR
Artif Intell Med; 2019 Jun; 97():27-37. PubMed ID: 31202397
[TBL] [Abstract][Full Text] [Related]
14. Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
Wang SL; Li X; Zhang S; Gui J; Huang DS
Comput Biol Med; 2010 Feb; 40(2):179-89. PubMed ID: 20044083
[TBL] [Abstract][Full Text] [Related]
15. Patient-Specific Variations in Biomarkers across Gingivitis and Periodontitis.
Nagarajan R; Miller CS; Dawson D; Al-Sabbagh M; Ebersole JL
PLoS One; 2015; 10(9):e0136792. PubMed ID: 26407063
[TBL] [Abstract][Full Text] [Related]
16. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
Kim D; Li R; Dudek SM; Ritchie MD
J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
[TBL] [Abstract][Full Text] [Related]
17. Genome-driven integrated classification of breast cancer validated in over 7,500 samples.
Ali HR; Rueda OM; Chin SF; Curtis C; Dunning MJ; Aparicio SA; Caldas C
Genome Biol; 2014 Aug; 15(8):431. PubMed ID: 25164602
[TBL] [Abstract][Full Text] [Related]
18. An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.
Firoozbakht F; Rezaeian I; D'agnillo M; Porter L; Rueda L; Ngom A
J Comput Biol; 2017 Aug; 24(8):756-766. PubMed ID: 28650678
[TBL] [Abstract][Full Text] [Related]
19. Molecular classification of breast cancer: what the pathologist needs to know.
Rakha EA; Green AR
Pathology; 2017 Feb; 49(2):111-119. PubMed ID: 28040199
[TBL] [Abstract][Full Text] [Related]
20. Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences.
Ali S; Majid A
J Biomed Inform; 2015 Apr; 54():256-69. PubMed ID: 25617669
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
