These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
378 related articles for article (PubMed ID: 29959482)
1. Overoptimism in cross-validation when using partial least squares-discriminant analysis for omics data: a systematic study. Rodríguez-Pérez R; Fernández L; Marco S Anal Bioanal Chem; 2018 Sep; 410(23):5981-5992. PubMed ID: 29959482 [TBL] [Abstract][Full Text] [Related]
2. Discriminant analysis and feature selection in mass spectrometry imaging using constrained repeated random sampling - Cross validation (CORRS-CV). Pérez-Guaita D; Quintás G; Kuligowski J Anal Chim Acta; 2020 Feb; 1097():30-36. PubMed ID: 31910967 [TBL] [Abstract][Full Text] [Related]
3. A comparative investigation of modern feature selection and classification approaches for the analysis of mass spectrometry data. Gromski PS; Xu Y; Correa E; Ellis DI; Turner ML; Goodacre R Anal Chim Acta; 2014 Jun; 829():1-8. PubMed ID: 24856395 [TBL] [Abstract][Full Text] [Related]
4. A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. Gromski PS; Muhamadali H; Ellis DI; Xu Y; Correa E; Turner ML; Goodacre R Anal Chim Acta; 2015 Jun; 879():10-23. PubMed ID: 26002472 [TBL] [Abstract][Full Text] [Related]
5. A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion. Boccard J; Rutledge DN Anal Chim Acta; 2013 Mar; 769():30-9. PubMed ID: 23498118 [TBL] [Abstract][Full Text] [Related]
6. Feature selection and nearest centroid classification for protein mass spectrometry. Levner I BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095 [TBL] [Abstract][Full Text] [Related]
7. Regularized Least Squares Cancer classifiers from DNA microarray data. Ancona N; Maglietta R; D'Addabbo A; Liuni S; Pesole G BMC Bioinformatics; 2005 Dec; 6 Suppl 4(Suppl 4):S2. PubMed ID: 16351746 [TBL] [Abstract][Full Text] [Related]
8. Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection-an application in metabolomics studies. Chardin D; Humbert O; Bailleux C; Burel-Vandenbos F; Rigau V; Pourcher T; Barlaud M BMC Bioinformatics; 2021 Dec; 22(1):594. PubMed ID: 34911437 [TBL] [Abstract][Full Text] [Related]
9. Approaches to Sample Size Determination for Multivariate Data: Applications to PCA and PLS-DA of Omics Data. Saccenti E; Timmerman ME J Proteome Res; 2016 Aug; 15(8):2379-93. PubMed ID: 27322847 [TBL] [Abstract][Full Text] [Related]
10. Local classification: Locally weighted-partial least squares-discriminant analysis (LW-PLS-DA). Bevilacqua M; Marini F Anal Chim Acta; 2014 Aug; 838():20-30. PubMed ID: 25064239 [TBL] [Abstract][Full Text] [Related]
11. Evaluating methods for classifying expression data. Man MZ; Dyson G; Johnson K; Liao B J Biopharm Stat; 2004 Nov; 14(4):1065-84. PubMed ID: 15587980 [TBL] [Abstract][Full Text] [Related]
12. Predictive modelling of colossal ATR-FTIR spectral data using PLS-DA: empirical differences between PLS1-DA and PLS2-DA algorithms. Lee LC; Jemain AA Analyst; 2019 Apr; 144(8):2670-2678. PubMed ID: 30849143 [TBL] [Abstract][Full Text] [Related]
13. Kernelized partial least squares for feature reduction and classification of gene microarray data. Land WH; Qiao X; Margolis DE; Ford WS; Paquette CT; Perez-Rogers JF; Borgia JA; Yang JY; Deng Y BMC Syst Biol; 2011; 5 Suppl 3(Suppl 3):S13. PubMed ID: 22784619 [TBL] [Abstract][Full Text] [Related]
14. On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning. Xu Y; Goodacre R J Anal Test; 2018; 2(3):249-262. PubMed ID: 30842888 [TBL] [Abstract][Full Text] [Related]
15. Random sample consensus combined with partial least squares regression (RANSAC-PLS) for microbial metabolomics data mining and phenotype improvement. Teoh ST; Kitamura M; Nakayama Y; Putri S; Mukai Y; Fukusaki E J Biosci Bioeng; 2016 Aug; 122(2):168-75. PubMed ID: 26861498 [TBL] [Abstract][Full Text] [Related]
16. Partial least-squares-discriminant analysis differentiating Chinese wolfberries by UPLC-MS and flow injection mass spectrometric (FIMS) fingerprints. Lu W; Jiang Q; Shi H; Niu Y; Gao B; Yu LL J Agric Food Chem; 2014 Sep; 62(37):9073-80. PubMed ID: 25152955 [TBL] [Abstract][Full Text] [Related]
17. Automated pipeline for classifying Aroclors in soil by gas chromatography/mass spectrometry using modulo compressed two-way data objects. Zhang M; Harrington Pde B Talanta; 2013 Dec; 117():483-91. PubMed ID: 24209371 [TBL] [Abstract][Full Text] [Related]
18. Molecular diagnosis. Classification, model selection and performance evaluation. Markowetz F; Spang R Methods Inf Med; 2005; 44(3):438-43. PubMed ID: 16113770 [TBL] [Abstract][Full Text] [Related]
19. Classification of structurally related commercial contrast media by near infrared spectroscopy. Yip WL; Soosainather TC; Dyrstad K; Sande SA J Pharm Biomed Anal; 2014 Mar; 90():148-60. PubMed ID: 24374816 [TBL] [Abstract][Full Text] [Related]