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BMC Medical Research Methodology|October 25, 2024
LLpowershap: logistic loss-based automated Shapley values feature selection methodIqbal Madakkatel, Elina Hyppönen
Scientific Reports|November 27, 2021
Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort studyIqbal Madakkatel, Ang Zhou, Mark D McDonnell, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|March 26, 2025
Machine learning to discover factors predicting volume of white matter hyperintensities: Insights from the UK BiobankYigizie Yeshaw, Iqbal Madakkatel, Anwar Mulugeta, et al.
European Journal of Clinical Investigation|June 12, 2023
Hypothesis-free discovery of novel cancer predictors using machine learningIqbal Madakkatel, Amanda L Lumsden, Anwar Mulugeta, et al.
Neuroepidemiology|April 1, 2024
Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK BiobankYigizie Yeshaw, Iqbal Madakkatel, Anwar Mulugeta, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|July 31, 2024
Large-scale analysis to identify risk factors for ovarian cancerIqbal Madakkatel, Amanda L Lumsden, Anwar Mulugeta, et al.
Nutrients|November 9, 2024
Circulating Phylloquinone and the Risk of Four Female-Specific Cancers: A Mendelian Randomization StudyMelaku Yalew, Anwar Mulugeta, Amanda L Lumsden, et al.
Journal of Public Health (Oxford, England)|May 13, 2026
Risk factors of ovarian cancer: a systematic review and meta-analysis of Mendelian randomiation studiesMelaku Yalew, Amanda L Lumsden, Anwar Mulugeta, et al.
Cancer Medicine|March 8, 2024
Phenome-wide association study of ovarian cancer identifies common comorbidities and reveals shared genetics with complex diseases and biomarkersAnwar Mulugeta, Amanda L Lumsden, Iqbal Madakkatel, et al.
British Journal of Cancer|August 28, 2025
Protein markers of ovarian cancer and its subtypes: insights from proteome-wide Mendelian randomisation analysisAnwar Mulugeta, David Stacey, Amanda L Lumsden, et al.
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