| Model-based classification via mixtures of multivariate t-distributions JL Andrews, PD McNicholas, S Subedi Computational Statistics & Data Analysis 55 (1), 520-529, 2011 | 99 | 2011 |
| Genome-wide expression profiling of maize in response to individual and combined water and nitrogen stresses S Humbert, S Subedi, J Cohn, B Zeng, YM Bi, X Chen, T Zhu, ... BMC genomics 14, 1-13, 2013 | 93 | 2013 |
| Clustering and classification via cluster-weighted factor analyzers S Subedi, A Punzo, S Ingrassia, PD McNicholas Advances in Data Analysis and Classification 7 (1), 5-40, 2013 | 71 | 2013 |
| Clustering gene expression time course data using mixtures of multivariate t-distributions PD McNicholas, S Subedi Journal of Statistical Planning and Inference 142 (5), 1114-1127, 2012 | 71 | 2012 |
| Identification of multiple phosphorylation sites on maize endosperm starch branching enzyme IIb, a key enzyme in amylopectin biosynthesis A Makhmoudova, D Williams, D Brewer, S Massey, J Patterson, A Silva, ... Journal of Biological Chemistry 289 (13), 9233-9246, 2014 | 69 | 2014 |
| Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions S Subedi, PD McNicholas Advances in Data Analysis and Classification 8 (2), 167-193, 2014 | 56 | 2014 |
| Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction S Subedi, A Punzo, S Ingrassia, PD McNicholas Statistical Methods & Applications 24 (4), 623-649, 2015 | 55 | 2015 |
| A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data A Silva, SJ Rothstein, PD McNicholas, S Subedi BMC bioinformatics 20 (1), 394, 2019 | 47 | 2019 |
| Targeted quantitative profiling of metabolites and gene transcripts associated with 4-aminobutyrate (GABA) in apple fruit stored under multiple abiotic stresses CJ Brikis, A Zarei, GZ Chiu, KL Deyman, J Liu, CP Trobacher, GJ Hoover, ... Horticulture research 5 (1), 1-14, 2018 | 47 | 2018 |
| 1-Methylcylopropene and controlled atmosphere modulate oxidative stress metabolism and reduce senescence-related disorders in stored pear fruit GB Lum, JR DeEll, GJ Hoover, S Subedi, BJ Shelp, GG Bozzo Postharvest Biology and Technology 129, 52-63, 2017 | 47 | 2017 |
| Proanthocyanidin accumulation and transcriptional responses in the seed coat of cranberry beans (Phaseolus vulgaris L.) with different susceptibility to postharvest darkening JAF Coutin, S Munholland, A Silva, S Subedi, L Lukens, WL Crosby, ... BMC Plant Biology 17 (1), 89, 2017 | 45 | 2017 |
| Marine fish oil is more potent than plant-based n-3 polyunsaturated fatty acids in the prevention of mammary tumors J Liu, SA Abdelmagid, CJ Pinelli, JM Monk, DM Liddle, LM Hillyer, ... The Journal of nutritional biochemistry 55, 41-52, 2018 | 38 | 2018 |
| The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits ZZ Feng, X Yang, S Subedi, PD McNicholas IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 9 …, 2012 | 37 | 2012 |
| Evaluating Changes in Omega-3 Fatty Acid Intake after Receiving Personal FADS1 Genetic Information: A Randomized Nutrigenetic Intervention K Roke, K Walton, SL Klingel, A Harnett, S Subedi, J Haines, DM Mutch Nutrients 9 (3), 240, 2017 | 35 | 2017 |
| Pre-storage conditioning ameliorates the negative impact of 1-methylcyclopropene on physiological injury and modifies the response of antioxidants and γ-aminobutyrate in … GB Lum, CJ Brikis, KL Deyman, S Subedi, JR DeEll, BJ Shelp, GG Bozzo Postharvest Biology and Technology 116, 115-128, 2016 | 30 | 2016 |
| Metabolic Alterations in Postharvest Pear Fruit As Influenced by 1-Methylcyclopropene and Controlled Atmosphere Storage EJ Flaherty, GB Lum, JR DeEll, S Subedi, BJ Shelp, GG Bozzo Journal of agricultural and food chemistry 66 (49), 12989-12999, 2018 | 25 | 2018 |
| Nitrogen limitation and high density responses in rice suggest a role for ethylene under high density stress M Misyura, D Guevara, S Subedi, D Hudson, PD McNicholas, J Colasanti, ... BMC genomics 15 (1), 681, 2014 | 18 | 2014 |
| Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models S Subedi, D Neish, S Bak, Z Feng Journal of the Royal Statistical Society Series C 69 (5), 1163-1187, 2020 | 17 | 2020 |
| longclust: Model-Based Clustering and Classification for Longitudinal Data PD McNicholas, KR Jampani, S Subedi R package version 1, 2012 | 12 | 2012 |
| A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting S Subedi, PD McNicholas Journal of Classification 38, 89-108, 2021 | 11* | 2021 |
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
