Jeffrey L. Andrews
Jeffrey L. Andrews
Associate Professor of Statistics, University of British Columbia - Okanagan Campus
Verified email at - Homepage
Cited by
Cited by
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions
JL Andrews, PD McNicholas
Statistics and Computing 22 (5), 1021-1029, 2012
Extending mixtures of multivariate t-factor analyzers
JL Andrews, PD McNicholas
Statistics and Computing 21, 361-373, 2011
Model-based classification via mixtures of multivariate t-distributions
JL Andrews, PD McNicholas, S Subedi
Computational Statistics & Data Analysis 55 (1), 520-529, 2011
Variable selection for clustering and classification
JL Andrews, PD McNicholas
Journal of Classification 31 (2), 136-153, 2014
Mixtures of modified t-factor analyzers for model-based clustering, classification, and discriminant analysis
JL Andrews, PD McNicholas
Journal of Statistical Planning and Inference 141 (4), 1479-1486, 2011
teigen: An R package for model-based clustering and classification via the multivariate t distribution
JL Andrews, JR Wickins, NM Boers, PD McNicholas
Journal of Statistical Software 83 (7), 1-32, 2018
Addressing overfitting and underfitting in Gaussian model-based clustering
JL Andrews
Computational Statistics & Data Analysis 127, 160-171, 2018
Model-based clustering and classification with the multivariate t distribution
J Andrews, J Wickins, N Boers, P McNicholas
Using evolutionary algorithms for model-based clustering
JL Andrews, PD McNicholas
Pattern Recognition Letters 34 (9), 987-992, 2013
Raman spectroscopy and group and basis-restricted non negative matrix factorisation identifies radiation induced metabolic changes in human cancer cells
K Milligan, X Deng, P Shreeves, R Ali-Adeeb, Q Matthews, A Brolo, ...
Scientific reports 11 (1), 3853, 2021
Monitor ionizing radiation-induced cellular responses with Raman spectroscopy, non-negative matrix factorization, and non-negative least squares
X Deng, R Ali-Adeeb, JL Andrews, P Shreeves, JJ Lum, A Brolo, A Jirasek
Applied spectroscopy 74 (6), 701-711, 2020
vscc: Variable selection for clustering and classification
JL Andrews, PD McNicholas
R package version 0.2 145, 2013
Group and basis restricted non-negative matrix factorization and random forest for molecular histotype classification and Raman biomarker monitoring in breast cancer
X Deng, K Milligan, R Ali-Adeeb, P Shreeves, A Brolo, JJ Lum, ...
Applied Spectroscopy 76 (4), 462-474, 2022
Longitudinal linear combination test for gene set analysis
E Khodayari Moez, M Hajihosseini, JL Andrews, I Dinu
BMC bioinformatics 20, 1-19, 2019
Nonnegative matrix factorization with group and basis restrictions
P Shreeves, JL Andrews, X Deng, R Ali-Adeeb, A Jirasek
Statistics in Biosciences 15 (3), 608-632, 2023
Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts
AM Fuentes, A Narayan, K Milligan, JJ Lum, AG Brolo, JL Andrews, ...
Scientific Reports 13 (1), 1530, 2023
An artificial bee colony algorithm for mixture model-based clustering
AE Culos, JL Andrews, H Afshari
Communications in Statistics-Simulation and Computation 51 (10), 5658-5669, 2022
Radiation treatment response and hypoxia biomarkers revealed by machine learning assisted Raman spectroscopy in tumour cells and xenograft tissues
X Deng, K Milligan, A Brolo, JJ Lum, JL Andrews, A Jirasek
Analyst 147 (22), 5091-5104, 2022
Raman spectroscopy and supervised learning as a potential tool to identify high‐dose‐rate‐brachytherapy induced biochemical profiles of prostate cancer
K Milligan, SJ Van Nest, X Deng, R Ali‐Adeeb, P Shreeves, S Punch, ...
Journal of Biophotonics 15 (11), e202200121, 2022
Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study
K Milligan, X Deng, R Ali-Adeeb, P Shreeves, S Punch, N Costie, ...
Scientific Reports 12 (1), 15104, 2022
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