426 related articles for article (PubMed ID: 22593721)
1. Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies.
Szymańska E; Saccenti E; Smilde AK; Westerhuis JA
Metabolomics; 2012 Jun; 8(Suppl 1):3-16. PubMed ID: 22593721
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters.
Triba MN; Le Moyec L; Amathieu R; Goossens C; Bouchemal N; Nahon P; Rutledge DN; Savarin P
Mol Biosyst; 2015 Jan; 11(1):13-9. PubMed ID: 25382277
[TBL] [Abstract][Full Text] [Related]
4. Complex Chemical Data Classification and Discrimination Using Locality Preserving Partial Least Squares Discriminant Analysis.
Aminu M; Ahmad NA
ACS Omega; 2020 Oct; 5(41):26601-26610. PubMed ID: 33110988
[TBL] [Abstract][Full Text] [Related]
5. The Monte Carlo validation framework for the discriminant partial least squares model extended with variable selection methods applied to authenticity studies of Viagra® based on chromatographic impurity profiles.
Krakowska B; Custers D; Deconinck E; Daszykowski M
Analyst; 2016 Feb; 141(3):1060-70. PubMed ID: 26730545
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of Classifier Performance for Multiclass Phenotype Discrimination in Untargeted Metabolomics.
Trainor PJ; DeFilippis AP; Rai SN
Metabolites; 2017 Jun; 7(2):. PubMed ID: 28635678
[TBL] [Abstract][Full Text] [Related]
7. A novel strategy for rapidly and accurately screening biomarkers based on ultraperformance liquid chromatography-mass spectrometry metabolomics data.
Li C; Zhang J; Wu R; Liu Y; Hu X; Yan Y; Ling X
Anal Chim Acta; 2019 Jul; 1063():47-56. PubMed ID: 30967185
[TBL] [Abstract][Full Text] [Related]
8. Sample classification for improved performance of PLS models applied to the quality control of deep-frying oils of different botanic origins analyzed using ATR-FTIR spectroscopy.
Kuligowski J; Carrión D; Quintás G; Garrigues S; de la Guardia M
Anal Bioanal Chem; 2011 Jan; 399(3):1305-14. PubMed ID: 21116610
[TBL] [Abstract][Full Text] [Related]
9. Improved multi-class discrimination by Common-Subset-of-Independent-Variables Partial-Least-Squares Discriminant Analysis.
Andries JPM; Vander Heyden Y
Talanta; 2021 Nov; 234():122595. PubMed ID: 34364417
[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. Assessing the performance of statistical validation tools for megavariate metabolomics data.
Rubingh CM; Bijlsma S; Derks EP; Bobeldijk I; Verheij ER; Kochhar S; Smilde AK
Metabolomics; 2006; 2(2):53-61. PubMed ID: 24489531
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach.
Pérez-Enciso M; Tenenhaus M
Hum Genet; 2003 May; 112(5-6):581-92. PubMed ID: 12607117
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Study on plasmatic metabolomics of Uygur patients with essential hypertension based on nuclear magnetic resonance technique.
Zhong L; Zhang JP; Nuermaimaiti AG; Yunusi KX
Eur Rev Med Pharmacol Sci; 2014; 18(23):3673-80. PubMed ID: 25535139
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a Partial Least Squares-Discriminant Analysis (PLS-DA) model based on the determination of ethyl glucuronide (EtG) and fatty acid ethyl esters (FAEEs) in hair for the diagnosis of chronic alcohol abuse.
Alladio E; Giacomelli L; Biosa G; Corcia DD; Gerace E; Salomone A; Vincenti M
Forensic Sci Int; 2018 Jan; 282():221-230. PubMed ID: 29174052
[TBL] [Abstract][Full Text] [Related]
17. Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge gaps.
Lee LC; Liong CY; Jemain AA
Analyst; 2018 Jul; 143(15):3526-3539. PubMed ID: 29947623
[TBL] [Abstract][Full Text] [Related]
18. Simultaneous classification of multiple classes in NMR metabolomics and vibrational spectroscopy using interval-based classification methods: iECVA vs iPLS-DA.
Rinnan Å; Savorani F; Engelsen SB
Anal Chim Acta; 2018 Aug; 1021():20-27. PubMed ID: 29681281
[TBL] [Abstract][Full Text] [Related]
19. Nontargeted metabolomics approach for the differentiation of cultivation ages of mountain cultivated ginseng leaves using UHPLC/QTOF-MS.
Chang X; Zhang J; Li D; Zhou D; Zhang Y; Wang J; Hu B; Ju A; Ye Z
J Pharm Biomed Anal; 2017 Jul; 141():108-122. PubMed ID: 28437718
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
