Dr Basma Abdulaimma

Journal article

Montenaz C, Fergus P, Chalmers C, Malim N, Abdulaimma B, Reilly D, falciani F. 2020. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity IEEE Access, DOI Author Url Publisher Url Public Url

Fergus P, Curbelo Montanez C, Abdulaimma B, Lisboa P, Chalmers C, Pineless B. 2018. Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17 :668-678 DOI Author Url Publisher Url Public Url

Thesis/Dissertation

montenaz C, Fergus P, Chalmers C, Malim N, Abdulaimma B, Reilly D, falciani F. 2020. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity Publisher Url

Abdulaimma B. 2019. High Dimensional Analysis of Genetic Data for the Classification of Type 2 Diabetes Using Advanced Machine Learning Algorithms Fergus P. Public Url

Conference publication

Abdulaimma B, Fergus P, Chalmers C, Montanez CC. 2020. Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) DOI Author Url Publisher Url

Abdulaimma B, Hussain A, Fergus P, Al-Jumeily D, Lisboa P, Huang D-S, Radi N. 2018. Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors 2018 IEEE Congress on Evolutionary Computation (CEC), 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) DOI Author Url Publisher Url Public Url

Hussain A, Abdulaimma B, Fergus P, Al-Jumeily D, Aday Curbelo Montañez C, Hind J, Radi N. 2017. Association Mapping Approach into Type 2 Diabetes using Biomarkers and Clinical Data Intelligent Computing Theories and Application, International Conference on Intelligent Computing :325-336 DOI Author Url Publisher Url Public Url

Curbelo Montañez CA, Fergus P, Hussain A, Al-Jumeily D. 2017. Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles Neural Networks (IJCNN), 2017 International Joint Conference on Neural Network DOI Author Url Publisher Url Public Url

Lisboa P, Hind J, Hussain A, Al-Jumeily D. 2017. A Robust Method for the Interpretation of Genomic Data 2017 International Joint Conference on Neural Networks (IJCNN 2017) DOI Author Url Publisher Url

Fergus P, Abdulaimma B, Carter C, Round S. 2014. Interactive mobile technology for children with autism spectrum condition (ASC) 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC) :1-4 DOI Publisher Url

preprint

Montañez CAC, Fergus P, Chalmers C, Malim NAH, Abdulaimma B, Reilly D, Falciani F. 2019. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity arXiv DOI

Abdulaimma B, Fergus P, Chalmers C. 2018. Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder arXiv DOI

Fergus P, Montanez CC, Abdulaimma B, Lisboa P, Chalmers C. 2018. Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women arXiv DOI