Use of the bootstrap and permutation methods for a more robust variable importance in the projection metric for partial least squares regression.

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Analytica Chimica Acta

• Publication date

  2013-03-20

• Fields of study

  Medicine, Chemistry

• Identifiers
  DOI 10.1016/j.aca.2013.01.004PMID 23473249
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• R: A language and environment for statistical computing.

  2014cited by this paper
• ggplot2: Elegant Graphics for Data Analysis

  2010cited by this paper
• Building Process Understanding for Vaccine Manufacturing Using Data Mining

  2010cited by this paper
• BMC Bioinformatics BioMed Central Methodology article Conditional variable importance for random forests

  2008cited by this paper
• The pls Package: Principal Component and Partial Least Squares Regression in R

  2007cited by this paper
• Performance of some variable selection methods when multicollinearity is present

  2005cited by this paper
• Selecting both latent and explanatory variables in the PLS1 regression model

  2003cited by this paper
• Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

  2001cited by this paper
• Comparison of selection methods of explanatory variables in PLS regression with application to manufacturing process data

  2001cited by this paper
• PLS-regression: a basic tool of chemometrics

  2001cited by this paper
• The geometry of partial least squares

  1997cited by this paper
• A Leisurely Look at the Bootstrap, the Jackknife, and

  1983cited by this paper
• The Jackknife Estimate of Variance

  1981cited by this paper

• Assessing variable importance stability using resampling strategies to enhance model interpretability and reliability in metabolomics.

  2026cites this paper
• Human-Technology Symbiosis at work: a brain morphometric investigation of inter-individual differences in smart-tool proneness.

  2026cites this paper
• Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data

  2025cites this paper
• Innovative determination of time since injury in mice intracerebral hematomas through ATR-FTIR spectroscopy.

  2025cites this paper
• Impact of ginger juice processing on volatile compounds and sensory characteristics of Eucommiae Cortex: A GC×GC-TOF-MS, E-nose, and machine learning analysis.

  2025cites this paper
• A Novel Liquid Chromatographic Time-of-Flight Tandem Mass Spectrometric Method for the Determination of Secondary Metabolites in Functional Flours Produced from Grape Seed and Olive Stone Waste

  2025cites this paper
• Are Wayfinding Abilities Correlated With Specific Brain Anatomy? An Investigation on Regular Car Drivers Using a Navigational Map in an Unknown Environment

  2025cites this paper
• Analysis of Flavor Differences in Yak Milk Powder at Different Milk Production Stages by Headspace Solid-Phase Microextraction and Gas Chromatography–Mass Spectrometry

  2025cites this paper
• Comprehensive comparison on different wavelength selection methods using several near-infrared spectral datasets with different dimensionalities.

  2025cites this paper
• A Review of Multi-scale Analytical Approaches to Assessing the Impact of Urban Morphology on CO2 Emissions

  2025cites this paper
• Associations between accelerometer‐measured circadian rest‐activity rhythm, brain structural and genetic mechanisms, and dementia

  2024cites this paper
• Productive CHO cell lines selection in biopharm process development through machine learning on metabolomic dynamics

  2024cites this paper
• Detection of huanglongbing infection in citrus using compositional analysis of volatile organic compounds

  2024cites this paper
• Comparing survival of older ovarian cancer patients treated with neoadjuvant chemotherapy versus primary cytoreductive surgery: Reducing bias through machine learning.

  2024cites this paper
• Prediction of Cr and Ni contents in soil from hyperspectral data combined with Al-Fe minerals

  2023cites this paper
• Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis

  2023cites this paper
• Solving the identification problems of Bolete origins based on multiple data processing: Take Boletus bainiugan as an example

  2023cites this paper
• Capturing functional connectomics using Riemannian partial least squares

  2023cites this paper
• Data fusion of Laser-induced breakdown spectroscopy and Near-infrared spectroscopy to quantitatively detect heavy metals in lily

  2023cites this paper
• Estimation and Analysis of PM2.5 Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China

  2022cites this paper
• Laser-induced breakdown spectroscopy (LIBS) for the detection of exogenous contamination of metal elements in lily bulbs.

  2022cites this paper
• China’s poverty assessment and analysis under the framework of the UN SDGs based on multisource remote sensing data

  2022cites this paper
• Spatial multivariate selection of climate indices for precipitation over India

  2022cites this paper
• Circulating amino acids and acylcarnitines correlated with different CAC score ranges in diabetic postmenopausal women using LC–MS/MS based metabolomics approach

  2022cites this paper
• An Integrated Strategy to Identify and Quantify the Quality Markers of Xinkeshu Tablets Based on Spectrum-Effect Relationship, Network Pharmacology, Plasma Pharmacochemistry, and Pharmacodynamics of Zebrafish

  2022cites this paper
• Comparison and Determination of Optimal Machine Learning Model for Predicting Generation of Coal Fly Ash

  2022cites this paper
• Integrating metabolome dynamics and process data to guide cell line selection in biopharmaceutical process development.

  2022cites this paper
• Rapid identification of reactivity for the efficient recycling of coal fly ash: Hybrid machine learning modeling and interpretation

  2022cites this paper
• Self-organizing maps-based generalized feature set selection for model adaption without reference data for batch process.

  2021cites this paper
• Isolating the white matter circuitry of the dorsal language stream: Connectome‐Symptom Mapping in stroke induced aphasia

  2021cites this paper
• Simultaneous adaption of the gain and phase of a generalized transfer function for aortic pressure waveform estimation

  2021cites this paper
• Preliminary Discovery of Q-Marker of Xinkeshu Tablets Based on 'Fingerprint-Efficacy-Pharmacokinetics' Correlation

  2021cites this paper
• THE POLICY MODEL FOR SUSTAINABLE COMMUNITY FOREST: A FACTOR ANALYSIS

  2021cites this paper
• Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics

  2021cites this paper
• Imaging correlates of visual function in multiple sclerosis

  2020cites this paper
• Analysis of Metabolomics Data—A Chemometrics Perspective

  2020cites this paper
• Effects of a high-dose Saccharomyces cerevisiae inoculum alone or in combination with Lactobacillus plantarum on the nutritional composition and fermentation traits of maize silage

  2020cites this paper
• Chemometrics in Forensics

  2020cites this paper
• Multi Way Classification

  2020cites this paper
• Correlation analysis of the age of brandy and volatiles in brandy by gas chromatography-mass spectrometry and gas chromatography-ion mobility spectrometry

  2020cites this paper
• Efficient ammonia production from food by-products by engineered Escherichia coli

  2020cites this paper
• Building a stable and accurate model for heavy metal detection in mulberry leaves based on a proposed analysis framework and laser-induced breakdown spectroscopy.

  2020cites this paper
• Raman Spectroscopy as a fast tool for whey quantification in raw milk

  2020cites this paper
• Effects and prediction of nonpoint source pollution on the structure of aquatic food webs

  2020cites this paper
• Characteristic Volatile Fingerprints and Odor Activity Values in Different Citrus-Tea by HS-GC-IMS and HS-SPME-GC-MS

  2020cites this paper
• An Variable Selection Method of the Significance Multivariate Correlation Competitive Population Analysis for Near-Infrared Spectroscopy in Chemical Modeling

  2019cites this paper
• Metabolomic-transcriptomic landscape of 8-epidiosbulbin E acetate -a major diterpenoid lactone from Dioscorea bulbifera tuber induces hepatotoxicity.

  2019cites this paper
• Development of near infrared spectroscopy methodology for human albumin determination using a new calibration approach.

  2019cites this paper
• Sweet Corn Stalk Treated with Saccharomyces Cerevisiae Alone or in Combination with Lactobacillus Plantarum: Nutritional Composition, Fermentation Traits and Aerobic Stability

  2019cites this paper
• Identification of 2-Hydroxymethyl-3,6-diethyl-5-methylpyrazine as a Key Retronasal Burnt Flavor Compound in Soy Sauce Aroma Type Baijiu Using Sensory-Guided Isolation Assisted by Multivariate Data Analysis.

  2018cites this paper
• Contemporary lipidomic analytics: opportunities and pitfalls.

  2018cites this paper
• A variable importance criterion for variable selection in near-infrared spectral analysis

  2018cites this paper
• Temperature Prediction of Combustion Layers for 660MW Ultra Supercritical Unit Through the VIP-SR

  2018cites this paper
• Chemometric methods for classification and feature selection

  2018cites this paper
• Simultaneous determination of rifampicin, isoniazid, pyrazinamide and ethambutol in 4-FDC tablet by Raman spectroscopy associated to chemometric approach

  2017cites this paper
• Recent chemometrics advances for foodomics

  2017cites this paper
• Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics

  2017cites this paper
• Classification of Different Dried Vine Fruit Varieties in China by HS-SPME-GC-MS Combined with Chemometrics

  2017cites this paper
• Ensemble partial least squares regression for descriptor selection, outlier detection, applicability domain assessment, and ensemble modeling in QSAR/QSPR modeling

  2017cites this paper
• In vivo confocal Raman spectroscopy for intrinsic aging and photoaging assessment.

  2017cites this paper
• Non-invasive PET imaging of brain inflammation at disease onset predicts spontaneous recurrent seizures and reflects comorbidities.

  2017cites this paper
• Constructing Stable Recursive Schemes of Solving Overdetermined Systems of Linear Equations

  2016cites this paper
• Bootstrap Approach To Compare the Slopes of Two Calibrations When Few Standards Are Available.

  2016cites this paper
• Quantitative Analysis in Combination with Fingerprint Technology and Chemometric Analysis Applied for Evaluating Six Species of Wild Paris Using UHPLC-UV-MS

  2016cites this paper
• Vibrational spectroscopy for milk fat quantification: line shape analysis of the Raman and infrared spectra

  2016cites this paper
• Data analysis strategies for targeted and untargeted LC-MS metabolomic studies: Overview and workflow

  2016cites this paper
• Assessment of fodder biomass in Senegalese rangelands using earth observation and field data

  2016cites this paper
• [An Improved ELM Algorithm for Near Infrared Spectral Quantitative Analysis].

  2016cites this paper
• Statistical strategies to reveal potential vibrational markers for in vivo analysis by confocal Raman spectroscopy

  2016cites this paper
• Quantitative evaluation and discrimination of wild Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz from three regions of Yunnan Province using UHPLC–UV–MS and UV spectroscopy couple with partial least squares discriminant analysis

  2016cites this paper
• Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series

  2015cites this paper
• Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

  2015cites this paper
• Identification of relevant physicochemical characteristics for predicting fruit juices filterability

  2015influential citation
• Optimal variable selection for Fourier transform infrared spectroscopic analysis of starch-adulterated garlic powder

  2015cites this paper
• Novel unified framework for latent modeling and its interpretation

  2015cites this paper
• Chemometric approach to open validation protocols: Prediction of validation parameters in multi-residue ultra-high performance liquid chromatography-tandem mass spectrometry methods.

  2015cites this paper
• Gas chromatography/mass spectrometry based component profiling and quality prediction for Japanese sake.

  2014cites this paper
• Important variable selection in partial least squares for industrial process understanding and control

  2014cites this paper
• Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC)

  2014cites this paper
• Metabolic profiling approach to explore compounds related to the umami intensity of soy sauce.

  2014cites this paper
• Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms

  2013cites this paper
• Remote Sensing Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from Fapar Time Series

  year unknowncites this paper
• A HS/SPME-GC×GC-TOF MS-Based Analysis of the Difference of Citri Grandis Exocarpium from Different Regions

  year unknowncites this paper