Peter Wentzell

Professor

Dalhousie University

Canada

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About

Peter Wentzell is a Professor at Dalhousie University in Canada. His research focuses on advanced machine learning techniques for multi-omics data analysis, quantitative proteomics, and multivariate statistical methods. Recent publications include work on Procrustes analysis and factor analysis applications in various domains, including chemistry and biochemistry. Wentzell's contributions underline the significance of innovative statistical approaches in the exploration of complex scientific datasets.

Articles (14)

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2025

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2024

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2023

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (1)

Alan Doucette

Professor

Dalhousie University

CANADA

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Peter Wentzell

Research Interests

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About

Articles (14)

Augmented kurtosis-based projection pursuit: a novel, advanced machine learning approach for multi-omics data analysis and integration

Assessing the precision of a detergent‐assisted cartridge precipitation workflow for non‐targeted quantitative proteomics

Exploring the scores: Procrustes analysis for comprehensive exploration of multivariate data

Analysis and Discrimination of Canadian Honey Using Quantitative NMR and Multivariate Statistical Methods

Factor analysis for signal modeling and noise characterization in spectro-kinetic data

Maximum likelihood factor analysis for resolution of noisy smartphone based diffuse reflectance data from CdS pigments

Coupling of multivariate curve resolution-alternating least squares and mechanistic hard models to investigate antibody purification from human plasma using ion exchange chromatography

Combinatorial projection pursuit analysis for exploring multivariate chemical data

Beyond principal components: a critical comparison of factor analysis methods for subspace modelling in chemistry

Beyond principal components: A critical comparison of factor analysis methods for subspace modelling in chemistry

Partial least squares discrimination applied to a few samples dataset: A case for predicting the presence of pesticide in lettuce

Kurtosis-based projection pursuit analysis to extract information from sensory attributes of cachaça

Simulation of 1/fα noise for analytical measurements

Sparse Projection Pursuit Analysis: An Alternative for Exploring Multivariate Chemical Data

Collaborators (1)

Alan Doucette

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