By Dr Annette Mary Spooner

Journal articles

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2025, 'Identifying risk factors for Alzheimer’s disease from multivariate longitudinal clinical data using temporal pattern mining', BMC Bioinformatics, 26, http://dx.doi.org/10.1186/s12859-024-06018-8

Spooner A; Moridani MK; Toplis B; Behary J; Safarchi A; Maher S; Vafaee F; Zekry A; Sowmya A, 2025, 'Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction', Briefings in Bioinformatics, 26, http://dx.doi.org/10.1093/bib/bbaf116

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2023, 'Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery', BMC Bioinformatics, 24, http://dx.doi.org/10.1186/s12859-022-05132-9

Spooner A; Chen E; Sowmya A; Sachdev P; Kochan NA; Trollor J; Brodaty H, 2020, 'A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction', Scientific Reports, 10, pp. 20410, http://dx.doi.org/10.1038/s41598-020-77220-w

Conference Abstracts

Spooner A; Behary J; Moridani MK; Safarchi A; Sowmya A; Zekry A; Vafaee F, 2024, 'Integrative machine learning model using multi-omics data for early prediction and biomarker identification of hepatocellular carcinoma', in JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, WILEY, Vol. 39, pp. 108 - 108

Moridani MK; Behary J; Spooner A; Safarchi A; Sowmya A; Zekry A; Vafaee F, 2024, 'Microbial-metabolite interactions in MAFLD cirrhosis: Insights from MiMeNet-driven metagenomic and metabolomic integration', in JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, WILEY, Vol. 39, pp. 106 - 107

Preprints

Spooner A; Moridani MK; Safarchi A; Maher S; Vafaee F; Zekry A; Sowmya A, 2024, Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning, http://arxiv.org/abs/2409.13791v1

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease, http://arxiv.org/abs/2209.04793v1

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers, http://arxiv.org/abs/2207.02380v1

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery, http://arxiv.org/abs/2207.01822v1

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