A Machine Learning Classifier to Identify and Prioritise Genes Associated with Cardiac Development

• Published in: bioRxiv
• Main Authors: Kabir, Mitra, Hartill, Verity, Farr, Gist H, Wasay Mohiuddin Shaikh Qureshi, Baross, Stephanie L, Doig, Andrew J, Talavera, David, Keavney, Bernard D, Maves, Lisa, Johnson, Colin A, Hentges, Kathryn E
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 08.11.2024
• Subjects: Amino acid sequence; Coronary artery disease; Diagnosis; Genes; Genetic screening; Heart diseases; Infant mortality; Learning algorithms; Machine learning; Nucleotide sequence; Predictions; Probability learning

Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenges to individuals living with these conditions. Genetic causes are known for only a minority of types of CHD. Discovering further genetic causes is limited by challenges in prioritising candidate CHD g...