B. Abdulaimma

According to our database, B. Abdulaimma authored at least 11 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity.

Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani

IEEE Access, 2020

Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes.

Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

High dimensional analysis of genetic data for the classification of type 2 diabetes using advanced machine learning algorithms.

B. Abdulaimma

PhD thesis, 2019

2018

Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder.

Basma Abdulaimma, Paul Fergus, Carl Chalmers

CoRR, 2018

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.

Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers

CoRR, 2018

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.

Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Machine learning approaches for the prediction of obesity using publicly available genetic profiles.

Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A robust method for the interpretation of genomic data.

Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data.

Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Jade Hind

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight.

C. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar

Proceedings of the Intelligent Computing Theories and Application, 2016