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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38049234)

  • 1. Cluster-Partial Least Squares (c-PLS) regression analysis: Application to miRNA and metabolomic data.
    Kuligowski J; Pérez-Rubio Á; Moreno-Torres M; Soluyanova P; Pérez-Rojas J; Rienda I; Pérez-Guaita D; Pareja E; Trullenque-Juan R; Castell JV; Verheijen M; Caiment F; Jover R; Quintás G
    Anal Chim Acta; 2024 Jan; 1286():342052. PubMed ID: 38049234
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improved variable reduction in partial least squares modelling based on predictive-property-ranked variables and adaptation of partial least squares complexity.
    Andries JP; Vander Heyden Y; Buydens LM
    Anal Chim Acta; 2011 Oct; 705(1-2):292-305. PubMed ID: 21962372
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sparse PLS-Based Method for Overlapping Metabolite Set Enrichment Analysis.
    Deng L; Ma L; Cheng KK; Xu X; Raftery D; Dong J
    J Proteome Res; 2021 Jun; 20(6):3204-3213. PubMed ID: 34002606
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A sparse PLS for variable selection when integrating omics data.
    Lê Cao KA; Rossouw D; Robert-Granié C; Besse P
    Stat Appl Genet Mol Biol; 2008; 7(1):Article 35. PubMed ID: 19049491
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Opportunities offered by latent-based multiblock strategies to integrate biomarkers of chemical exposure and biomarkers of effect in environmental health studies.
    Babin É; Vigneau E; Antignac JP; Le Bizec B; Cano-Sancho G
    Chemosphere; 2024 Aug; 361():142465. PubMed ID: 38810805
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Variable selection in near-infrared spectroscopy: benchmarking of feature selection methods on biodiesel data.
    Balabin RM; Smirnov SV
    Anal Chim Acta; 2011 Apr; 692(1-2):63-72. PubMed ID: 21501713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling microRNA-mRNA interactions using PLS regression in human colon cancer.
    Li X; Gill R; Cooper NG; Yoo JK; Datta S
    BMC Med Genomics; 2011 May; 4():44. PubMed ID: 21595958
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.
    Bastien P; Bertrand F; Meyer N; Maumy-Bertrand M
    Bioinformatics; 2015 Feb; 31(3):397-404. PubMed ID: 25286920
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison between Variable-Selection Algorithms in PLS Regression with Near-Infrared Spectroscopy to Predict Selected Metals in Soil.
    Abrantes G; Almeida V; Maia AJ; Nascimento R; Nascimento C; Silva Y; Silva Y; Veras G
    Molecules; 2023 Oct; 28(19):. PubMed ID: 37836802
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data.
    Brandolini-Bunlon M; Pétéra M; Gaudreau P; Comte B; Bougeard S; Pujos-Guillot E
    Metabolomics; 2019 Oct; 15(10):134. PubMed ID: 31583480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of Bi- and Tri-Linear PLS Models for Variable Selection in Metabolomic Time-Series Experiments.
    Gao Q; Dragsted LO; Ebbels T
    Metabolites; 2019 May; 9(5):. PubMed ID: 31075899
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A hybrid variable selection and modeling strategy for the determination of target compounds in different spectral datasets.
    Li XK; Li ZY; Yang ZY; Qiu D; Li JM; Li BQ
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Jul; 275():121123. PubMed ID: 35313172
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying Significant Metabolic Pathways Using Multi-Block Partial Least-Squares Analysis.
    Deng L; Guo F; Cheng KK; Zhu J; Gu H; Raftery D; Dong J
    J Proteome Res; 2020 May; 19(5):1965-1974. PubMed ID: 32174118
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Partial least squares dimension reduction for microarray gene expression data with a censored response.
    Nguyen DV
    Math Biosci; 2005 Jan; 193(1):119-37. PubMed ID: 15681279
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spectral fluctuation dividing for efficient wavenumber selection: application to estimation of water and drug content in granules using near infrared spectroscopy.
    Miyano T; Kano M; Tanabe H; Nakagawa H; Watanabe T; Minami H
    Int J Pharm; 2014 Nov; 475(1-2):504-13. PubMed ID: 25218183
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.